Mercurial > repos > bgruening > sklearn_model_validation
annotate ml_visualization_ex.py @ 26:0474777be433 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
author | bgruening |
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date | Wed, 11 Mar 2020 13:43:57 -0400 |
parents | a5aed87b2cc0 |
children | 9b017b0da56e |
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5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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1 import argparse |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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2 import json |
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a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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3 import matplotlib |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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4 import matplotlib.pyplot as plt |
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5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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5 import numpy as np |
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a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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6 import os |
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5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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7 import pandas as pd |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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8 import plotly |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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9 import plotly.graph_objs as go |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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10 import warnings |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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11 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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12 from keras.models import model_from_json |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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13 from keras.utils import plot_model |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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14 from sklearn.feature_selection.base import SelectorMixin |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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15 from sklearn.metrics import precision_recall_curve, average_precision_score |
26
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
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16 from sklearn.metrics import roc_curve, auc, confusion_matrix |
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5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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17 from sklearn.pipeline import Pipeline |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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18 from galaxy_ml.utils import load_model, read_columns, SafeEval |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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19 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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20 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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21 safe_eval = SafeEval() |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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22 |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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23 # plotly default colors |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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24 default_colors = [ |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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25 '#1f77b4', # muted blue |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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26 '#ff7f0e', # safety orange |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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27 '#2ca02c', # cooked asparagus green |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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28 '#d62728', # brick red |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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29 '#9467bd', # muted purple |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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30 '#8c564b', # chestnut brown |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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31 '#e377c2', # raspberry yogurt pink |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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32 '#7f7f7f', # middle gray |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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33 '#bcbd22', # curry yellow-green |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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34 '#17becf' # blue-teal |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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35 ] |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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36 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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37 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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38 def visualize_pr_curve_plotly(df1, df2, pos_label, title=None): |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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39 """output pr-curve in html using plotly |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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40 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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41 df1 : pandas.DataFrame |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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42 Containing y_true |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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43 df2 : pandas.DataFrame |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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44 Containing y_score |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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45 pos_label : None |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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46 The label of positive class |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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47 title : str |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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48 Plot title |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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49 """ |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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50 data = [] |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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51 for idx in range(df1.shape[1]): |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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52 y_true = df1.iloc[:, idx].values |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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53 y_score = df2.iloc[:, idx].values |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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54 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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55 precision, recall, _ = precision_recall_curve( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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56 y_true, y_score, pos_label=pos_label) |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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57 ap = average_precision_score( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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58 y_true, y_score, pos_label=pos_label or 1) |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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59 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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60 trace = go.Scatter( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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61 x=recall, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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62 y=precision, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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63 mode='lines', |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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64 marker=dict( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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65 color=default_colors[idx % len(default_colors)] |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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66 ), |
a5aed87b2cc0
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67 name='%s (area = %.3f)' % (idx, ap) |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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68 ) |
a5aed87b2cc0
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69 data.append(trace) |
a5aed87b2cc0
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70 |
a5aed87b2cc0
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71 layout = go.Layout( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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72 xaxis=dict( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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73 title='Recall', |
a5aed87b2cc0
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74 linecolor='lightslategray', |
a5aed87b2cc0
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75 linewidth=1 |
a5aed87b2cc0
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76 ), |
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77 yaxis=dict( |
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78 title='Precision', |
a5aed87b2cc0
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79 linecolor='lightslategray', |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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80 linewidth=1 |
a5aed87b2cc0
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81 ), |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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82 title=dict( |
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83 text=title or 'Precision-Recall Curve', |
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84 x=0.5, |
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85 y=0.92, |
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86 xanchor='center', |
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87 yanchor='top' |
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88 ), |
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89 font=dict( |
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90 family="sans-serif", |
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91 size=11 |
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92 ), |
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93 # control backgroud colors |
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94 plot_bgcolor='rgba(255,255,255,0)' |
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95 ) |
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96 """ |
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97 legend=dict( |
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98 x=0.95, |
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99 y=0, |
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100 traceorder="normal", |
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101 font=dict( |
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102 family="sans-serif", |
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103 size=9, |
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104 color="black" |
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105 ), |
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106 bgcolor="LightSteelBlue", |
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107 bordercolor="Black", |
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108 borderwidth=2 |
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109 ),""" |
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110 |
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111 fig = go.Figure(data=data, layout=layout) |
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112 |
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113 plotly.offline.plot(fig, filename="output.html", auto_open=False) |
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114 # to be discovered by `from_work_dir` |
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115 os.rename('output.html', 'output') |
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116 |
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117 |
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118 def visualize_pr_curve_matplotlib(df1, df2, pos_label, title=None): |
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119 """visualize pr-curve using matplotlib and output svg image |
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120 """ |
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121 backend = matplotlib.get_backend() |
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122 if "inline" not in backend: |
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123 matplotlib.use("SVG") |
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124 plt.style.use('seaborn-colorblind') |
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125 plt.figure() |
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126 |
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127 for idx in range(df1.shape[1]): |
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128 y_true = df1.iloc[:, idx].values |
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129 y_score = df2.iloc[:, idx].values |
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130 |
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131 precision, recall, _ = precision_recall_curve( |
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132 y_true, y_score, pos_label=pos_label) |
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133 ap = average_precision_score( |
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134 y_true, y_score, pos_label=pos_label or 1) |
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135 |
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136 plt.step(recall, precision, 'r-', color="black", alpha=0.3, |
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137 lw=1, where="post", label='%s (area = %.3f)' % (idx, ap)) |
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138 |
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139 plt.xlim([0.0, 1.0]) |
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140 plt.ylim([0.0, 1.05]) |
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141 plt.xlabel('Recall') |
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142 plt.ylabel('Precision') |
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143 title = title or 'Precision-Recall Curve' |
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144 plt.title(title) |
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145 folder = os.getcwd() |
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146 plt.savefig(os.path.join(folder, "output.svg"), format="svg") |
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147 os.rename(os.path.join(folder, "output.svg"), |
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148 os.path.join(folder, "output")) |
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149 |
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150 |
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151 def visualize_roc_curve_plotly(df1, df2, pos_label, |
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152 drop_intermediate=True, |
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153 title=None): |
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154 """output roc-curve in html using plotly |
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155 |
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156 df1 : pandas.DataFrame |
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157 Containing y_true |
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158 df2 : pandas.DataFrame |
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159 Containing y_score |
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160 pos_label : None |
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161 The label of positive class |
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162 drop_intermediate : bool |
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163 Whether to drop some suboptimal thresholds |
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164 title : str |
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165 Plot title |
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166 """ |
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167 data = [] |
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168 for idx in range(df1.shape[1]): |
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169 y_true = df1.iloc[:, idx].values |
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170 y_score = df2.iloc[:, idx].values |
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171 |
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172 fpr, tpr, _ = roc_curve(y_true, y_score, pos_label=pos_label, |
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173 drop_intermediate=drop_intermediate) |
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174 roc_auc = auc(fpr, tpr) |
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175 |
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176 trace = go.Scatter( |
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177 x=fpr, |
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178 y=tpr, |
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179 mode='lines', |
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180 marker=dict( |
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181 color=default_colors[idx % len(default_colors)] |
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182 ), |
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183 name='%s (area = %.3f)' % (idx, roc_auc) |
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184 ) |
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185 data.append(trace) |
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186 |
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187 layout = go.Layout( |
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188 xaxis=dict( |
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189 title='False Positive Rate', |
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190 linecolor='lightslategray', |
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191 linewidth=1 |
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192 ), |
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193 yaxis=dict( |
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194 title='True Positive Rate', |
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195 linecolor='lightslategray', |
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196 linewidth=1 |
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197 ), |
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198 title=dict( |
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199 text=title or 'Receiver Operating Characteristic (ROC) Curve', |
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200 x=0.5, |
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201 y=0.92, |
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202 xanchor='center', |
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203 yanchor='top' |
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204 ), |
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205 font=dict( |
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206 family="sans-serif", |
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207 size=11 |
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208 ), |
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209 # control backgroud colors |
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210 plot_bgcolor='rgba(255,255,255,0)' |
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211 ) |
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212 """ |
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213 # legend=dict( |
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214 # x=0.95, |
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215 # y=0, |
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216 # traceorder="normal", |
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217 # font=dict( |
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218 # family="sans-serif", |
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219 # size=9, |
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220 # color="black" |
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221 # ), |
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222 # bgcolor="LightSteelBlue", |
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223 # bordercolor="Black", |
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224 # borderwidth=2 |
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225 # ), |
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226 """ |
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227 |
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228 fig = go.Figure(data=data, layout=layout) |
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229 |
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230 plotly.offline.plot(fig, filename="output.html", auto_open=False) |
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231 # to be discovered by `from_work_dir` |
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232 os.rename('output.html', 'output') |
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233 |
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234 |
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235 def visualize_roc_curve_matplotlib(df1, df2, pos_label, |
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236 drop_intermediate=True, |
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237 title=None): |
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238 """visualize roc-curve using matplotlib and output svg image |
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239 """ |
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240 backend = matplotlib.get_backend() |
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241 if "inline" not in backend: |
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242 matplotlib.use("SVG") |
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243 plt.style.use('seaborn-colorblind') |
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244 plt.figure() |
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245 |
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246 for idx in range(df1.shape[1]): |
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247 y_true = df1.iloc[:, idx].values |
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248 y_score = df2.iloc[:, idx].values |
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249 |
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250 fpr, tpr, _ = roc_curve(y_true, y_score, pos_label=pos_label, |
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251 drop_intermediate=drop_intermediate) |
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252 roc_auc = auc(fpr, tpr) |
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253 |
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254 plt.step(fpr, tpr, 'r-', color="black", alpha=0.3, lw=1, |
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255 where="post", label='%s (area = %.3f)' % (idx, roc_auc)) |
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256 |
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257 plt.xlim([0.0, 1.0]) |
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258 plt.ylim([0.0, 1.05]) |
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259 plt.xlabel('False Positive Rate') |
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260 plt.ylabel('True Positive Rate') |
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261 title = title or 'Receiver Operating Characteristic (ROC) Curve' |
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262 plt.title(title) |
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263 folder = os.getcwd() |
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264 plt.savefig(os.path.join(folder, "output.svg"), format="svg") |
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265 os.rename(os.path.join(folder, "output.svg"), |
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266 os.path.join(folder, "output")) |
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267 |
20
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268 |
26
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269 def get_dataframe(file_path, plot_selection, header_name, column_name): |
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270 header = 'infer' if plot_selection[header_name] else None |
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271 column_option = plot_selection[column_name]["selected_column_selector_option"] |
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272 if column_option in ["by_index_number", "all_but_by_index_number", "by_header_name", "all_but_by_header_name"]: |
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273 col = plot_selection[column_name]["col1"] |
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274 else: |
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275 col = None |
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276 _, input_df = read_columns(file_path, c=col, |
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277 c_option=column_option, |
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278 return_df=True, |
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279 sep='\t', header=header, |
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280 parse_dates=True) |
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281 return input_df |
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282 |
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283 |
20
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284 def main(inputs, infile_estimator=None, infile1=None, |
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285 infile2=None, outfile_result=None, |
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286 outfile_object=None, groups=None, |
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287 ref_seq=None, intervals=None, |
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288 targets=None, fasta_path=None, |
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289 model_config=None, true_labels=None, |
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290 predicted_labels=None, plot_color=None, |
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291 title=None): |
20
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292 """ |
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293 Parameter |
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294 --------- |
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295 inputs : str |
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296 File path to galaxy tool parameter |
5895fe0b8bde
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297 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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298 infile_estimator : str, default is None |
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299 File path to estimator |
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300 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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301 infile1 : str, default is None |
5895fe0b8bde
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302 File path to dataset containing features or true labels. |
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303 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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304 infile2 : str, default is None |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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305 File path to dataset containing target values or predicted |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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306 probabilities. |
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307 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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308 outfile_result : str, default is None |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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309 File path to save the results, either cv_results or test result |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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310 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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311 outfile_object : str, default is None |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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312 File path to save searchCV object |
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313 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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314 groups : str, default is None |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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315 File path to dataset containing groups labels |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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316 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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317 ref_seq : str, default is None |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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318 File path to dataset containing genome sequence file |
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319 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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320 intervals : str, default is None |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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321 File path to dataset containing interval file |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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322 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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323 targets : str, default is None |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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324 File path to dataset compressed target bed file |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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325 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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326 fasta_path : str, default is None |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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327 File path to dataset containing fasta file |
5895fe0b8bde
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328 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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329 model_config : str, default is None |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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330 File path to dataset containing JSON config for neural networks |
26
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
|
331 |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
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diff
changeset
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332 true_labels : str, default is None |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
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diff
changeset
|
333 File path to dataset containing true labels |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
|
334 |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
|
335 predicted_labels : str, default is None |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
|
336 File path to dataset containing true predicted labels |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
|
337 |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
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338 plot_color : str, default is None |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
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339 Color of the confusion matrix heatmap |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
|
340 |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
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diff
changeset
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341 title : str, default is None |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
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342 Title of the confusion matrix heatmap |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
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343 """ |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
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344 warnings.simplefilter('ignore') |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
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345 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
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346 with open(inputs, 'r') as param_handler: |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
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347 params = json.load(param_handler) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
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348 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
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349 title = params['plotting_selection']['title'].strip() |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
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350 plot_type = params['plotting_selection']['plot_type'] |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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351 plot_format = params['plotting_selection']['plot_format'] |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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352 |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
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353 if plot_type == 'feature_importances': |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
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354 with open(infile_estimator, 'rb') as estimator_handler: |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
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355 estimator = load_model(estimator_handler) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
356 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
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357 column_option = (params['plotting_selection'] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
358 ['column_selector_options'] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
359 ['selected_column_selector_option']) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
360 if column_option in ['by_index_number', 'all_but_by_index_number', |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
361 'by_header_name', 'all_but_by_header_name']: |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
362 c = (params['plotting_selection'] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
363 ['column_selector_options']['col1']) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
364 else: |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
365 c = None |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
366 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
367 _, input_df = read_columns(infile1, c=c, |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
368 c_option=column_option, |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
369 return_df=True, |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
370 sep='\t', header='infer', |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
371 parse_dates=True) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
372 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
373 feature_names = input_df.columns.values |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
374 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
375 if isinstance(estimator, Pipeline): |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
376 for st in estimator.steps[:-1]: |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
377 if isinstance(st[-1], SelectorMixin): |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
378 mask = st[-1].get_support() |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
379 feature_names = feature_names[mask] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
380 estimator = estimator.steps[-1][-1] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
381 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
382 if hasattr(estimator, 'coef_'): |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
383 coefs = estimator.coef_ |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
384 else: |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
385 coefs = getattr(estimator, 'feature_importances_', None) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
386 if coefs is None: |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
387 raise RuntimeError('The classifier does not expose ' |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
388 '"coef_" or "feature_importances_" ' |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
389 'attributes') |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
390 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
391 threshold = params['plotting_selection']['threshold'] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
392 if threshold is not None: |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
393 mask = (coefs > threshold) | (coefs < -threshold) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
394 coefs = coefs[mask] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
395 feature_names = feature_names[mask] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
396 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
397 # sort |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
398 indices = np.argsort(coefs)[::-1] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
399 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
400 trace = go.Bar(x=feature_names[indices], |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
401 y=coefs[indices]) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
402 layout = go.Layout(title=title or "Feature Importances") |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
403 fig = go.Figure(data=[trace], layout=layout) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
404 |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
405 plotly.offline.plot(fig, filename="output.html", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
406 auto_open=False) |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
407 # to be discovered by `from_work_dir` |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
408 os.rename('output.html', 'output') |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
409 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
410 return 0 |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
411 |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
412 elif plot_type in ('pr_curve', 'roc_curve'): |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
413 df1 = pd.read_csv(infile1, sep='\t', header='infer') |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
414 df2 = pd.read_csv(infile2, sep='\t', header='infer').astype(np.float32) |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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diff
changeset
|
415 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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416 minimum = params['plotting_selection']['report_minimum_n_positives'] |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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417 # filter out columns whose n_positives is beblow the threhold |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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|
418 if minimum: |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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419 mask = df1.sum(axis=0) >= minimum |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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420 df1 = df1.loc[:, mask] |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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421 df2 = df2.loc[:, mask] |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
422 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
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423 pos_label = params['plotting_selection']['pos_label'].strip() \ |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
424 or None |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
425 |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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426 if plot_type == 'pr_curve': |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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changeset
|
427 if plot_format == 'plotly_html': |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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428 visualize_pr_curve_plotly(df1, df2, pos_label, title=title) |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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|
429 else: |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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430 visualize_pr_curve_matplotlib(df1, df2, pos_label, title) |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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431 else: # 'roc_curve' |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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432 drop_intermediate = (params['plotting_selection'] |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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433 ['drop_intermediate']) |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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changeset
|
434 if plot_format == 'plotly_html': |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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|
435 visualize_roc_curve_plotly(df1, df2, pos_label, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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436 drop_intermediate=drop_intermediate, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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437 title=title) |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
438 else: |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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changeset
|
439 visualize_roc_curve_matplotlib( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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|
440 df1, df2, pos_label, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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|
441 drop_intermediate=drop_intermediate, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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diff
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|
442 title=title) |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
443 |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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|
444 return 0 |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
445 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
446 elif plot_type == 'rfecv_gridscores': |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
447 input_df = pd.read_csv(infile1, sep='\t', header='infer') |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
448 scores = input_df.iloc[:, 0] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
449 steps = params['plotting_selection']['steps'].strip() |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
450 steps = safe_eval(steps) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
451 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
452 data = go.Scatter( |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
453 x=list(range(len(scores))), |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
454 y=scores, |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
455 text=[str(_) for _ in steps] if steps else None, |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
456 mode='lines' |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
457 ) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
458 layout = go.Layout( |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
459 xaxis=dict(title="Number of features selected"), |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
460 yaxis=dict(title="Cross validation score"), |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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|
461 title=dict( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
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|
462 text=title or None, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
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|
463 x=0.5, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
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|
464 y=0.92, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
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|
465 xanchor='center', |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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|
466 yanchor='top' |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
467 ), |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
468 font=dict( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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changeset
|
469 family="sans-serif", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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|
470 size=11 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
471 ), |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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|
472 # control backgroud colors |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
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|
473 plot_bgcolor='rgba(255,255,255,0)' |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
474 ) |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
475 """ |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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|
476 # legend=dict( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
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|
477 # x=0.95, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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|
478 # y=0, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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|
479 # traceorder="normal", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
480 # font=dict( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
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|
481 # family="sans-serif", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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|
482 # size=9, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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|
483 # color="black" |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
484 # ), |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
485 # bgcolor="LightSteelBlue", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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changeset
|
486 # bordercolor="Black", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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changeset
|
487 # borderwidth=2 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
488 # ), |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
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changeset
|
489 """ |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
490 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
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|
491 fig = go.Figure(data=[data], layout=layout) |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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|
492 plotly.offline.plot(fig, filename="output.html", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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|
493 auto_open=False) |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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|
494 # to be discovered by `from_work_dir` |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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|
495 os.rename('output.html', 'output') |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
496 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
497 return 0 |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
498 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
499 elif plot_type == 'learning_curve': |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
500 input_df = pd.read_csv(infile1, sep='\t', header='infer') |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
501 plot_std_err = params['plotting_selection']['plot_std_err'] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
502 data1 = go.Scatter( |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
503 x=input_df['train_sizes_abs'], |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
504 y=input_df['mean_train_scores'], |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
505 error_y=dict( |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
506 array=input_df['std_train_scores'] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
507 ) if plot_std_err else None, |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
508 mode='lines', |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
509 name="Train Scores", |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
510 ) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
511 data2 = go.Scatter( |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
512 x=input_df['train_sizes_abs'], |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
513 y=input_df['mean_test_scores'], |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
514 error_y=dict( |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
515 array=input_df['std_test_scores'] |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
516 ) if plot_std_err else None, |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
517 mode='lines', |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
518 name="Test Scores", |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
519 ) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
520 layout = dict( |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
521 xaxis=dict( |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
522 title='No. of samples' |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
523 ), |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
524 yaxis=dict( |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
525 title='Performance Score' |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
526 ), |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
527 # modify these configurations to customize image |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
528 title=dict( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
529 text=title or 'Learning Curve', |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
530 x=0.5, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
531 y=0.92, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
532 xanchor='center', |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
533 yanchor='top' |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
534 ), |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
535 font=dict( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
536 family="sans-serif", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
537 size=11 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
538 ), |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
539 # control backgroud colors |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
540 plot_bgcolor='rgba(255,255,255,0)' |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
541 ) |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
542 """ |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
543 # legend=dict( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
544 # x=0.95, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
545 # y=0, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
546 # traceorder="normal", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
547 # font=dict( |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
548 # family="sans-serif", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
549 # size=9, |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
550 # color="black" |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
551 # ), |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
552 # bgcolor="LightSteelBlue", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
553 # bordercolor="Black", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
554 # borderwidth=2 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
555 # ), |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
556 """ |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
557 |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
558 fig = go.Figure(data=[data1, data2], layout=layout) |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
559 plotly.offline.plot(fig, filename="output.html", |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
560 auto_open=False) |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
561 # to be discovered by `from_work_dir` |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
562 os.rename('output.html', 'output') |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
563 |
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
564 return 0 |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
565 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
566 elif plot_type == 'keras_plot_model': |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
567 with open(model_config, 'r') as f: |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
568 model_str = f.read() |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
569 model = model_from_json(model_str) |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
570 plot_model(model, to_file="output.png") |
24
a5aed87b2cc0
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
21
diff
changeset
|
571 os.rename('output.png', 'output') |
20
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
572 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
573 return 0 |
5895fe0b8bde
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
574 |
26
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
|
575 elif plot_type == 'classification_confusion_matrix': |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
|
576 plot_selection = params["plotting_selection"] |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
|
577 input_true = get_dataframe(true_labels, plot_selection, "header_true", "column_selector_options_true") |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
|
578 header_predicted = 'infer' if plot_selection["header_predicted"] else None |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
24
diff
changeset
|
579 input_predicted = pd.read_csv(predicted_labels, sep='\t', parse_dates=True, header=header_predicted) |
0474777be433
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"
bgruening
parents:
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580 true_classes = input_true.iloc[:, -1].copy() |
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581 predicted_classes = input_predicted.iloc[:, -1].copy() |
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582 axis_labels = list(set(true_classes)) |
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583 c_matrix = confusion_matrix(true_classes, predicted_classes) |
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584 fig, ax = plt.subplots(figsize=(7, 7)) |
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585 im = plt.imshow(c_matrix, cmap=plot_color) |
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586 for i in range(len(c_matrix)): |
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587 for j in range(len(c_matrix)): |
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588 ax.text(j, i, c_matrix[i, j], ha="center", va="center", color="k") |
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589 ax.set_ylabel('True class labels') |
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590 ax.set_xlabel('Predicted class labels') |
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591 ax.set_title(title) |
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592 ax.set_xticks(axis_labels) |
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593 ax.set_yticks(axis_labels) |
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594 fig.colorbar(im, ax=ax) |
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595 fig.tight_layout() |
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596 plt.savefig("output.png", dpi=125) |
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597 os.rename('output.png', 'output') |
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598 |
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599 return 0 |
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600 |
24
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601 # save pdf file to disk |
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602 # fig.write_image("image.pdf", format='pdf') |
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603 # fig.write_image("image.pdf", format='pdf', width=340*2, height=226*2) |
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604 |
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605 |
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606 if __name__ == '__main__': |
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607 aparser = argparse.ArgumentParser() |
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608 aparser.add_argument("-i", "--inputs", dest="inputs", required=True) |
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609 aparser.add_argument("-e", "--estimator", dest="infile_estimator") |
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610 aparser.add_argument("-X", "--infile1", dest="infile1") |
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611 aparser.add_argument("-y", "--infile2", dest="infile2") |
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612 aparser.add_argument("-O", "--outfile_result", dest="outfile_result") |
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613 aparser.add_argument("-o", "--outfile_object", dest="outfile_object") |
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614 aparser.add_argument("-g", "--groups", dest="groups") |
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615 aparser.add_argument("-r", "--ref_seq", dest="ref_seq") |
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616 aparser.add_argument("-b", "--intervals", dest="intervals") |
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617 aparser.add_argument("-t", "--targets", dest="targets") |
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618 aparser.add_argument("-f", "--fasta_path", dest="fasta_path") |
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619 aparser.add_argument("-c", "--model_config", dest="model_config") |
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620 aparser.add_argument("-tl", "--true_labels", dest="true_labels") |
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621 aparser.add_argument("-pl", "--predicted_labels", dest="predicted_labels") |
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622 aparser.add_argument("-pc", "--plot_color", dest="plot_color") |
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623 aparser.add_argument("-pt", "--title", dest="title") |
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624 args = aparser.parse_args() |
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625 |
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626 main(args.inputs, args.infile_estimator, args.infile1, args.infile2, |
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627 args.outfile_result, outfile_object=args.outfile_object, |
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628 groups=args.groups, ref_seq=args.ref_seq, intervals=args.intervals, |
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629 targets=args.targets, fasta_path=args.fasta_path, |
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630 model_config=args.model_config, true_labels=args.true_labels, |
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631 predicted_labels=args.predicted_labels, |
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632 plot_color=args.plot_color, |
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633 title=args.title) |