Mercurial > repos > bgruening > sklearn_svm_classifier
annotate ml_visualization_ex.py @ 16:f9639b488779 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 756f8be9c3cd437e131e6410cd625c24fe078e8c"
author | bgruening |
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date | Wed, 22 Jan 2020 07:44:40 -0500 |
parents | 2df8f5c30edc |
children | d2afc87db26b |
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7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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1 import argparse |
7d7379dfef8b
"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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2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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3 import matplotlib |
2df8f5c30edc
"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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7d7379dfef8b
"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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2df8f5c30edc
"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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7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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7 import pandas as pd |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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8 import plotly |
7d7379dfef8b
"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 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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10 import warnings |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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11 |
7d7379dfef8b
"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 |
7d7379dfef8b
"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 |
7d7379dfef8b
"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 |
7d7379dfef8b
"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 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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16 from sklearn.metrics import roc_curve, auc |
7d7379dfef8b
"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 |
7d7379dfef8b
"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 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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19 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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20 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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21 safe_eval = SafeEval() |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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22 |
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2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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23 # plotly default colors |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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24 default_colors = [ |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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25 '#1f77b4', # muted blue |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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26 '#ff7f0e', # safety orange |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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27 '#2ca02c', # cooked asparagus green |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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28 '#d62728', # brick red |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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29 '#9467bd', # muted purple |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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30 '#8c564b', # chestnut brown |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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31 '#e377c2', # raspberry yogurt pink |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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32 '#7f7f7f', # middle gray |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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33 '#bcbd22', # curry yellow-green |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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34 '#17becf' # blue-teal |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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35 ] |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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36 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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37 |
2df8f5c30edc
"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): |
2df8f5c30edc
"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 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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40 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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41 df1 : pandas.DataFrame |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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42 Containing y_true |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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43 df2 : pandas.DataFrame |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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44 Containing y_score |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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45 pos_label : None |
2df8f5c30edc
"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 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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47 title : str |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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48 Plot title |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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49 """ |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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50 data = [] |
2df8f5c30edc
"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]): |
2df8f5c30edc
"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 |
2df8f5c30edc
"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 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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54 |
2df8f5c30edc
"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( |
2df8f5c30edc
"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) |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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57 ap = average_precision_score( |
2df8f5c30edc
"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) |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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59 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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60 trace = go.Scatter( |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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61 x=recall, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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62 y=precision, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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63 mode='lines', |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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64 marker=dict( |
2df8f5c30edc
"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)] |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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66 ), |
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67 name='%s (area = %.3f)' % (idx, ap) |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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68 ) |
2df8f5c30edc
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69 data.append(trace) |
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70 |
2df8f5c30edc
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71 layout = go.Layout( |
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72 xaxis=dict( |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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73 title='Recall', |
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74 linecolor='lightslategray', |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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75 linewidth=1 |
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76 ), |
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77 yaxis=dict( |
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78 title='Precision', |
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79 linecolor='lightslategray', |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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80 linewidth=1 |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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81 ), |
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"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 |
11
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268 |
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269 def main(inputs, infile_estimator=None, infile1=None, |
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270 infile2=None, outfile_result=None, |
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271 outfile_object=None, groups=None, |
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272 ref_seq=None, intervals=None, |
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273 targets=None, fasta_path=None, |
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274 model_config=None): |
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275 """ |
7d7379dfef8b
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276 Parameter |
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277 --------- |
7d7379dfef8b
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278 inputs : str |
7d7379dfef8b
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279 File path to galaxy tool parameter |
7d7379dfef8b
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280 |
7d7379dfef8b
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281 infile_estimator : str, default is None |
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282 File path to estimator |
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283 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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284 infile1 : str, default is None |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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285 File path to dataset containing features or true labels. |
7d7379dfef8b
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286 |
7d7379dfef8b
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287 infile2 : str, default is None |
7d7379dfef8b
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288 File path to dataset containing target values or predicted |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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289 probabilities. |
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290 |
7d7379dfef8b
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291 outfile_result : str, default is None |
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292 File path to save the results, either cv_results or test result |
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293 |
7d7379dfef8b
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294 outfile_object : str, default is None |
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295 File path to save searchCV object |
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296 |
7d7379dfef8b
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297 groups : str, default is None |
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298 File path to dataset containing groups labels |
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299 |
7d7379dfef8b
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300 ref_seq : str, default is None |
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301 File path to dataset containing genome sequence file |
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302 |
7d7379dfef8b
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303 intervals : str, default is None |
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304 File path to dataset containing interval file |
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305 |
7d7379dfef8b
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306 targets : str, default is None |
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307 File path to dataset compressed target bed file |
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308 |
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309 fasta_path : str, default is None |
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310 File path to dataset containing fasta file |
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311 |
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312 model_config : str, default is None |
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313 File path to dataset containing JSON config for neural networks |
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314 """ |
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315 warnings.simplefilter('ignore') |
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316 |
7d7379dfef8b
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317 with open(inputs, 'r') as param_handler: |
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318 params = json.load(param_handler) |
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319 |
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320 title = params['plotting_selection']['title'].strip() |
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321 plot_type = params['plotting_selection']['plot_type'] |
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322 plot_format = params['plotting_selection']['plot_format'] |
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323 |
11
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324 if plot_type == 'feature_importances': |
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325 with open(infile_estimator, 'rb') as estimator_handler: |
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326 estimator = load_model(estimator_handler) |
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327 |
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328 column_option = (params['plotting_selection'] |
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329 ['column_selector_options'] |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
330 ['selected_column_selector_option']) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
331 if column_option in ['by_index_number', 'all_but_by_index_number', |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
332 'by_header_name', 'all_but_by_header_name']: |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
333 c = (params['plotting_selection'] |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
334 ['column_selector_options']['col1']) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
335 else: |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
336 c = None |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
337 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
338 _, input_df = read_columns(infile1, c=c, |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
339 c_option=column_option, |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
340 return_df=True, |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
341 sep='\t', header='infer', |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
342 parse_dates=True) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
343 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
344 feature_names = input_df.columns.values |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
345 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
346 if isinstance(estimator, Pipeline): |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
347 for st in estimator.steps[:-1]: |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
348 if isinstance(st[-1], SelectorMixin): |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
349 mask = st[-1].get_support() |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
350 feature_names = feature_names[mask] |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
351 estimator = estimator.steps[-1][-1] |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
352 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
353 if hasattr(estimator, 'coef_'): |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
354 coefs = estimator.coef_ |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
355 else: |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
356 coefs = getattr(estimator, 'feature_importances_', None) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
357 if coefs is None: |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
358 raise RuntimeError('The classifier does not expose ' |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
359 '"coef_" or "feature_importances_" ' |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
360 'attributes') |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
361 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
362 threshold = params['plotting_selection']['threshold'] |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
363 if threshold is not None: |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
364 mask = (coefs > threshold) | (coefs < -threshold) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
365 coefs = coefs[mask] |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
366 feature_names = feature_names[mask] |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
367 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
368 # sort |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
369 indices = np.argsort(coefs)[::-1] |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
370 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
371 trace = go.Bar(x=feature_names[indices], |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
372 y=coefs[indices]) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
373 layout = go.Layout(title=title or "Feature Importances") |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
374 fig = go.Figure(data=[trace], layout=layout) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
375 |
15
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
376 plotly.offline.plot(fig, filename="output.html", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
377 auto_open=False) |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
378 # to be discovered by `from_work_dir` |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
379 os.rename('output.html', 'output') |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
380 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
381 return 0 |
11
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
382 |
15
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
383 elif plot_type in ('pr_curve', 'roc_curve'): |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
384 df1 = pd.read_csv(infile1, sep='\t', header='infer') |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
385 df2 = pd.read_csv(infile2, sep='\t', header='infer').astype(np.float32) |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
386 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
387 minimum = params['plotting_selection']['report_minimum_n_positives'] |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
388 # filter out columns whose n_positives is beblow the threhold |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
389 if minimum: |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
390 mask = df1.sum(axis=0) >= minimum |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
391 df1 = df1.loc[:, mask] |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
392 df2 = df2.loc[:, mask] |
11
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
393 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
394 pos_label = params['plotting_selection']['pos_label'].strip() \ |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
395 or None |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
396 |
15
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
397 if plot_type == 'pr_curve': |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
398 if plot_format == 'plotly_html': |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
399 visualize_pr_curve_plotly(df1, df2, pos_label, title=title) |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
400 else: |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
401 visualize_pr_curve_matplotlib(df1, df2, pos_label, title) |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
402 else: # 'roc_curve' |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
403 drop_intermediate = (params['plotting_selection'] |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
404 ['drop_intermediate']) |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
405 if plot_format == 'plotly_html': |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
406 visualize_roc_curve_plotly(df1, df2, pos_label, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
407 drop_intermediate=drop_intermediate, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
408 title=title) |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
409 else: |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
410 visualize_roc_curve_matplotlib( |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
411 df1, df2, pos_label, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
412 drop_intermediate=drop_intermediate, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
413 title=title) |
11
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
414 |
15
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
415 return 0 |
11
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
416 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
417 elif plot_type == 'rfecv_gridscores': |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
418 input_df = pd.read_csv(infile1, sep='\t', header='infer') |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
419 scores = input_df.iloc[:, 0] |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
420 steps = params['plotting_selection']['steps'].strip() |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
421 steps = safe_eval(steps) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
422 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
423 data = go.Scatter( |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
424 x=list(range(len(scores))), |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
425 y=scores, |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
426 text=[str(_) for _ in steps] if steps else None, |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
427 mode='lines' |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
428 ) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
429 layout = go.Layout( |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
430 xaxis=dict(title="Number of features selected"), |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
431 yaxis=dict(title="Cross validation score"), |
15
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
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432 title=dict( |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
433 text=title or None, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
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434 x=0.5, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
435 y=0.92, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
436 xanchor='center', |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
437 yanchor='top' |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
438 ), |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
439 font=dict( |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
440 family="sans-serif", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
441 size=11 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
442 ), |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
443 # control backgroud colors |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
444 plot_bgcolor='rgba(255,255,255,0)' |
11
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
445 ) |
15
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
446 """ |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
447 # legend=dict( |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
448 # x=0.95, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
449 # y=0, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
450 # traceorder="normal", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
451 # font=dict( |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
452 # family="sans-serif", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
453 # size=9, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
454 # color="black" |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
455 # ), |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
456 # bgcolor="LightSteelBlue", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
457 # bordercolor="Black", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
458 # borderwidth=2 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
459 # ), |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
460 """ |
11
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
461 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
462 fig = go.Figure(data=[data], layout=layout) |
15
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
463 plotly.offline.plot(fig, filename="output.html", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
464 auto_open=False) |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
465 # to be discovered by `from_work_dir` |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
466 os.rename('output.html', 'output') |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
467 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
468 return 0 |
11
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
469 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
470 elif plot_type == 'learning_curve': |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
471 input_df = pd.read_csv(infile1, sep='\t', header='infer') |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
472 plot_std_err = params['plotting_selection']['plot_std_err'] |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
473 data1 = go.Scatter( |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
474 x=input_df['train_sizes_abs'], |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
475 y=input_df['mean_train_scores'], |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
476 error_y=dict( |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
477 array=input_df['std_train_scores'] |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
478 ) if plot_std_err else None, |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
479 mode='lines', |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
480 name="Train Scores", |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
481 ) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
482 data2 = go.Scatter( |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
483 x=input_df['train_sizes_abs'], |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
484 y=input_df['mean_test_scores'], |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
485 error_y=dict( |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
486 array=input_df['std_test_scores'] |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
487 ) if plot_std_err else None, |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
488 mode='lines', |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
489 name="Test Scores", |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
490 ) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
491 layout = dict( |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
492 xaxis=dict( |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
493 title='No. of samples' |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
494 ), |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
495 yaxis=dict( |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
496 title='Performance Score' |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
497 ), |
15
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
498 # modify these configurations to customize image |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
499 title=dict( |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
500 text=title or 'Learning Curve', |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
501 x=0.5, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
502 y=0.92, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
503 xanchor='center', |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
504 yanchor='top' |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
505 ), |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
506 font=dict( |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
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507 family="sans-serif", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
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508 size=11 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
509 ), |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
510 # control backgroud colors |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
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511 plot_bgcolor='rgba(255,255,255,0)' |
11
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
512 ) |
15
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
513 """ |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
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514 # legend=dict( |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
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515 # x=0.95, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
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516 # y=0, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
517 # traceorder="normal", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
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518 # font=dict( |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
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519 # family="sans-serif", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
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520 # size=9, |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
521 # color="black" |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
522 # ), |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
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523 # bgcolor="LightSteelBlue", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
524 # bordercolor="Black", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
525 # borderwidth=2 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
526 # ), |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
527 """ |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
528 |
11
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
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529 fig = go.Figure(data=[data1, data2], layout=layout) |
15
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
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changeset
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530 plotly.offline.plot(fig, filename="output.html", |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
531 auto_open=False) |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
532 # to be discovered by `from_work_dir` |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
533 os.rename('output.html', 'output') |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
534 |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
535 return 0 |
11
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
536 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
537 elif plot_type == 'keras_plot_model': |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
538 with open(model_config, 'r') as f: |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
539 model_str = f.read() |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
540 model = model_from_json(model_str) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
541 plot_model(model, to_file="output.png") |
15
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
542 os.rename('output.png', 'output') |
11
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
543 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
544 return 0 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
545 |
15
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
546 # save pdf file to disk |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
547 # fig.write_image("image.pdf", format='pdf') |
2df8f5c30edc
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
12
diff
changeset
|
548 # fig.write_image("image.pdf", format='pdf', width=340*2, height=226*2) |
11
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
549 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
550 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
551 if __name__ == '__main__': |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
552 aparser = argparse.ArgumentParser() |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
553 aparser.add_argument("-i", "--inputs", dest="inputs", required=True) |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
554 aparser.add_argument("-e", "--estimator", dest="infile_estimator") |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
555 aparser.add_argument("-X", "--infile1", dest="infile1") |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
556 aparser.add_argument("-y", "--infile2", dest="infile2") |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
557 aparser.add_argument("-O", "--outfile_result", dest="outfile_result") |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
558 aparser.add_argument("-o", "--outfile_object", dest="outfile_object") |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
559 aparser.add_argument("-g", "--groups", dest="groups") |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
560 aparser.add_argument("-r", "--ref_seq", dest="ref_seq") |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
561 aparser.add_argument("-b", "--intervals", dest="intervals") |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
562 aparser.add_argument("-t", "--targets", dest="targets") |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
563 aparser.add_argument("-f", "--fasta_path", dest="fasta_path") |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
564 aparser.add_argument("-c", "--model_config", dest="model_config") |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
565 args = aparser.parse_args() |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
566 |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
567 main(args.inputs, args.infile_estimator, args.infile1, args.infile2, |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
568 args.outfile_result, outfile_object=args.outfile_object, |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
569 groups=args.groups, ref_seq=args.ref_seq, intervals=args.intervals, |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
570 targets=args.targets, fasta_path=args.fasta_path, |
7d7379dfef8b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents:
diff
changeset
|
571 model_config=args.model_config) |