Mercurial > repos > bgruening > sklearn_discriminant_classifier
annotate ml_visualization_ex.py @ 41:d769d83ec796 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
author | bgruening |
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date | Wed, 09 Aug 2023 13:14:12 +0000 |
parents | e76f6dfea5c9 |
children | fc48ce12454b |
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8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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1 import argparse |
8e49f26b14d3
"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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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
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3 import os |
420a4bf99244
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
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4 import warnings |
420a4bf99244
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
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5 |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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6 import matplotlib |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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7 import matplotlib.pyplot as plt |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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8 import numpy as np |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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9 import pandas as pd |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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10 import plotly |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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11 import plotly.graph_objs as go |
41
d769d83ec796
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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12 from galaxy_ml.model_persist import load_model_from_h5 |
d769d83ec796
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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13 from galaxy_ml.utils import read_columns, SafeEval |
d769d83ec796
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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14 from sklearn.feature_selection._base import SelectorMixin |
d769d83ec796
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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15 from sklearn.metrics import ( |
d769d83ec796
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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16 auc, |
d769d83ec796
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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17 average_precision_score, |
d769d83ec796
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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18 precision_recall_curve, |
d769d83ec796
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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19 roc_curve, |
d769d83ec796
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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20 ) |
27
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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21 from sklearn.pipeline import Pipeline |
41
d769d83ec796
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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22 from tensorflow.keras.models import model_from_json |
d769d83ec796
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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23 from tensorflow.keras.utils import plot_model |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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24 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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25 safe_eval = SafeEval() |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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26 |
31
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27 # plotly default colors |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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28 default_colors = [ |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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29 "#1f77b4", # muted blue |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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30 "#ff7f0e", # safety orange |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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31 "#2ca02c", # cooked asparagus green |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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32 "#d62728", # brick red |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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33 "#9467bd", # muted purple |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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34 "#8c564b", # chestnut brown |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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35 "#e377c2", # raspberry yogurt pink |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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36 "#7f7f7f", # middle gray |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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37 "#bcbd22", # curry yellow-green |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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38 "#17becf", # blue-teal |
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39 ] |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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40 |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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41 |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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42 def visualize_pr_curve_plotly(df1, df2, pos_label, title=None): |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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43 """output pr-curve in html using plotly |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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44 |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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45 df1 : pandas.DataFrame |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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46 Containing y_true |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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47 df2 : pandas.DataFrame |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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48 Containing y_score |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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49 pos_label : None |
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50 The label of positive class |
64b771b1471a
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51 title : str |
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52 Plot title |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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53 """ |
64b771b1471a
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54 data = [] |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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55 for idx in range(df1.shape[1]): |
64b771b1471a
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56 y_true = df1.iloc[:, idx].values |
64b771b1471a
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57 y_score = df2.iloc[:, idx].values |
64b771b1471a
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58 |
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59 precision, recall, _ = precision_recall_curve( |
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60 y_true, y_score, pos_label=pos_label |
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61 ) |
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62 ap = average_precision_score(y_true, y_score, pos_label=pos_label or 1) |
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63 |
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64 trace = go.Scatter( |
64b771b1471a
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65 x=recall, |
64b771b1471a
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66 y=precision, |
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67 mode="lines", |
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68 marker=dict(color=default_colors[idx % len(default_colors)]), |
eeaf989f1024
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69 name="%s (area = %.3f)" % (idx, ap), |
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70 ) |
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71 data.append(trace) |
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72 |
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73 layout = go.Layout( |
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74 xaxis=dict(title="Recall", linecolor="lightslategray", linewidth=1), |
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75 yaxis=dict(title="Precision", linecolor="lightslategray", linewidth=1), |
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76 title=dict( |
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77 text=title or "Precision-Recall Curve", |
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78 x=0.5, |
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79 y=0.92, |
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80 xanchor="center", |
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81 yanchor="top", |
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82 ), |
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83 font=dict(family="sans-serif", size=11), |
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84 # control backgroud colors |
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85 plot_bgcolor="rgba(255,255,255,0)", |
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86 ) |
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87 """ |
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88 legend=dict( |
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89 x=0.95, |
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90 y=0, |
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91 traceorder="normal", |
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92 font=dict( |
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93 family="sans-serif", |
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94 size=9, |
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95 color="black" |
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96 ), |
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97 bgcolor="LightSteelBlue", |
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98 bordercolor="Black", |
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99 borderwidth=2 |
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100 ),""" |
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101 |
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102 fig = go.Figure(data=data, layout=layout) |
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103 |
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104 plotly.offline.plot(fig, filename="output.html", auto_open=False) |
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105 # to be discovered by `from_work_dir` |
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106 os.rename("output.html", "output") |
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107 |
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108 |
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109 def visualize_pr_curve_matplotlib(df1, df2, pos_label, title=None): |
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110 """visualize pr-curve using matplotlib and output svg image""" |
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111 backend = matplotlib.get_backend() |
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112 if "inline" not in backend: |
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113 matplotlib.use("SVG") |
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114 plt.style.use("seaborn-colorblind") |
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115 plt.figure() |
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116 |
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117 for idx in range(df1.shape[1]): |
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118 y_true = df1.iloc[:, idx].values |
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119 y_score = df2.iloc[:, idx].values |
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120 |
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121 precision, recall, _ = precision_recall_curve( |
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122 y_true, y_score, pos_label=pos_label |
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123 ) |
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124 ap = average_precision_score(y_true, y_score, pos_label=pos_label or 1) |
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125 |
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126 plt.step( |
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127 recall, |
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128 precision, |
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129 "r-", |
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130 color="black", |
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131 alpha=0.3, |
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132 lw=1, |
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133 where="post", |
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134 label="%s (area = %.3f)" % (idx, ap), |
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135 ) |
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136 |
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137 plt.xlim([0.0, 1.0]) |
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138 plt.ylim([0.0, 1.05]) |
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139 plt.xlabel("Recall") |
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140 plt.ylabel("Precision") |
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141 title = title or "Precision-Recall Curve" |
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142 plt.title(title) |
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143 folder = os.getcwd() |
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144 plt.savefig(os.path.join(folder, "output.svg"), format="svg") |
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145 os.rename(os.path.join(folder, "output.svg"), os.path.join(folder, "output")) |
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146 |
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147 |
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148 def visualize_roc_curve_plotly(df1, df2, pos_label, drop_intermediate=True, title=None): |
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149 """output roc-curve in html using plotly |
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150 |
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151 df1 : pandas.DataFrame |
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152 Containing y_true |
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153 df2 : pandas.DataFrame |
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154 Containing y_score |
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155 pos_label : None |
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156 The label of positive class |
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157 drop_intermediate : bool |
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158 Whether to drop some suboptimal thresholds |
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159 title : str |
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160 Plot title |
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161 """ |
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162 data = [] |
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163 for idx in range(df1.shape[1]): |
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164 y_true = df1.iloc[:, idx].values |
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165 y_score = df2.iloc[:, idx].values |
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166 |
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167 fpr, tpr, _ = roc_curve( |
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168 y_true, y_score, pos_label=pos_label, drop_intermediate=drop_intermediate |
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169 ) |
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170 roc_auc = auc(fpr, tpr) |
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171 |
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172 trace = go.Scatter( |
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173 x=fpr, |
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174 y=tpr, |
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175 mode="lines", |
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176 marker=dict(color=default_colors[idx % len(default_colors)]), |
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177 name="%s (area = %.3f)" % (idx, roc_auc), |
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178 ) |
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179 data.append(trace) |
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180 |
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181 layout = go.Layout( |
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182 xaxis=dict( |
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183 title="False Positive Rate", linecolor="lightslategray", linewidth=1 |
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184 ), |
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185 yaxis=dict(title="True Positive Rate", linecolor="lightslategray", linewidth=1), |
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186 title=dict( |
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187 text=title or "Receiver Operating Characteristic (ROC) Curve", |
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188 x=0.5, |
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189 y=0.92, |
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190 xanchor="center", |
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191 yanchor="top", |
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192 ), |
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193 font=dict(family="sans-serif", size=11), |
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194 # control backgroud colors |
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195 plot_bgcolor="rgba(255,255,255,0)", |
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196 ) |
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197 """ |
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198 # legend=dict( |
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199 # x=0.95, |
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200 # y=0, |
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201 # traceorder="normal", |
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202 # font=dict( |
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203 # family="sans-serif", |
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204 # size=9, |
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205 # color="black" |
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206 # ), |
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207 # bgcolor="LightSteelBlue", |
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208 # bordercolor="Black", |
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209 # borderwidth=2 |
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210 # ), |
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211 """ |
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212 |
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213 fig = go.Figure(data=data, layout=layout) |
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214 |
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215 plotly.offline.plot(fig, filename="output.html", auto_open=False) |
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216 # to be discovered by `from_work_dir` |
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217 os.rename("output.html", "output") |
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218 |
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219 |
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220 def visualize_roc_curve_matplotlib( |
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221 df1, df2, pos_label, drop_intermediate=True, title=None |
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222 ): |
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223 """visualize roc-curve using matplotlib and output svg image""" |
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224 backend = matplotlib.get_backend() |
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225 if "inline" not in backend: |
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226 matplotlib.use("SVG") |
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227 plt.style.use("seaborn-colorblind") |
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228 plt.figure() |
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229 |
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230 for idx in range(df1.shape[1]): |
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231 y_true = df1.iloc[:, idx].values |
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232 y_score = df2.iloc[:, idx].values |
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233 |
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234 fpr, tpr, _ = roc_curve( |
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235 y_true, y_score, pos_label=pos_label, drop_intermediate=drop_intermediate |
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236 ) |
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237 roc_auc = auc(fpr, tpr) |
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238 |
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239 plt.step( |
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240 fpr, |
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241 tpr, |
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242 "r-", |
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243 color="black", |
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244 alpha=0.3, |
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245 lw=1, |
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246 where="post", |
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247 label="%s (area = %.3f)" % (idx, roc_auc), |
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248 ) |
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249 |
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250 plt.xlim([0.0, 1.0]) |
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251 plt.ylim([0.0, 1.05]) |
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252 plt.xlabel("False Positive Rate") |
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253 plt.ylabel("True Positive Rate") |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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254 title = title or "Receiver Operating Characteristic (ROC) Curve" |
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255 plt.title(title) |
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256 folder = os.getcwd() |
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257 plt.savefig(os.path.join(folder, "output.svg"), format="svg") |
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258 os.rename(os.path.join(folder, "output.svg"), os.path.join(folder, "output")) |
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259 |
27
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260 |
35
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261 def main( |
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262 inputs, |
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263 infile_estimator=None, |
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264 infile1=None, |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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265 infile2=None, |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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266 outfile_result=None, |
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267 outfile_object=None, |
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268 groups=None, |
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269 ref_seq=None, |
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270 intervals=None, |
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271 targets=None, |
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272 fasta_path=None, |
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273 model_config=None, |
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274 ): |
27
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275 """ |
8e49f26b14d3
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276 Parameter |
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277 --------- |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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278 inputs : str |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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279 File path to galaxy tool parameter |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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280 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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281 infile_estimator : str, default is None |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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282 File path to estimator |
8e49f26b14d3
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283 |
8e49f26b14d3
"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 |
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"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. |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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286 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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287 infile2 : str, default is None |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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288 File path to dataset containing target values or predicted |
8e49f26b14d3
"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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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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290 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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291 outfile_result : str, default is None |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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292 File path to save the results, either cv_results or test result |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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293 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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294 outfile_object : str, default is None |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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295 File path to save searchCV object |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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296 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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297 groups : str, default is None |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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298 File path to dataset containing groups labels |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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299 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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300 ref_seq : str, default is None |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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301 File path to dataset containing genome sequence file |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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302 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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303 intervals : str, default is None |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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304 File path to dataset containing interval file |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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305 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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306 targets : str, default is None |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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307 File path to dataset compressed target bed file |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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308 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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309 fasta_path : str, default is None |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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310 File path to dataset containing fasta file |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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311 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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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 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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314 """ |
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315 warnings.simplefilter("ignore") |
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316 |
35
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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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 |
35
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320 title = params["plotting_selection"]["title"].strip() |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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321 plot_type = params["plotting_selection"]["plot_type"] |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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322 plot_format = params["plotting_selection"]["plot_format"] |
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323 |
35
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324 if plot_type == "feature_importances": |
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325 estimator = load_model_from_h5(infile_estimator) |
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326 |
37
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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327 column_option = params["plotting_selection"]["column_selector_options"][ |
e76f6dfea5c9
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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328 "selected_column_selector_option" |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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329 ] |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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330 if column_option in [ |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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331 "by_index_number", |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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332 "all_but_by_index_number", |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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333 "by_header_name", |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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334 "all_but_by_header_name", |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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335 ]: |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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336 c = params["plotting_selection"]["column_selector_options"]["col1"] |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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337 else: |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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338 c = None |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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339 |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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340 _, input_df = read_columns( |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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341 infile1, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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342 c=c, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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343 c_option=column_option, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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344 return_df=True, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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345 sep="\t", |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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346 header="infer", |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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347 parse_dates=True, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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348 ) |
27
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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349 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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350 feature_names = input_df.columns.values |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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351 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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352 if isinstance(estimator, Pipeline): |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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353 for st in estimator.steps[:-1]: |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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354 if isinstance(st[-1], SelectorMixin): |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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355 mask = st[-1].get_support() |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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356 feature_names = feature_names[mask] |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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357 estimator = estimator.steps[-1][-1] |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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358 |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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359 if hasattr(estimator, "coef_"): |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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360 coefs = estimator.coef_ |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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361 else: |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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362 coefs = getattr(estimator, "feature_importances_", None) |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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363 if coefs is None: |
37
e76f6dfea5c9
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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364 raise RuntimeError( |
e76f6dfea5c9
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
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365 "The classifier does not expose " |
e76f6dfea5c9
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
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366 '"coef_" or "feature_importances_" ' |
e76f6dfea5c9
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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367 "attributes" |
e76f6dfea5c9
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
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368 ) |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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369 |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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370 threshold = params["plotting_selection"]["threshold"] |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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371 if threshold is not None: |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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372 mask = (coefs > threshold) | (coefs < -threshold) |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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373 coefs = coefs[mask] |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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374 feature_names = feature_names[mask] |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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375 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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376 # sort |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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377 indices = np.argsort(coefs)[::-1] |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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378 |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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379 trace = go.Bar(x=feature_names[indices], y=coefs[indices]) |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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380 layout = go.Layout(title=title or "Feature Importances") |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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381 fig = go.Figure(data=[trace], layout=layout) |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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|
382 |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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383 plotly.offline.plot(fig, filename="output.html", auto_open=False) |
31
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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|
384 # to be discovered by `from_work_dir` |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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385 os.rename("output.html", "output") |
31
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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|
386 |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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387 return 0 |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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|
388 |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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389 elif plot_type in ("pr_curve", "roc_curve"): |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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390 df1 = pd.read_csv(infile1, sep="\t", header="infer") |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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391 df2 = pd.read_csv(infile2, sep="\t", header="infer").astype(np.float32) |
31
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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392 |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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393 minimum = params["plotting_selection"]["report_minimum_n_positives"] |
31
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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394 # filter out columns whose n_positives is beblow the threhold |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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|
395 if minimum: |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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396 mask = df1.sum(axis=0) >= minimum |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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397 df1 = df1.loc[:, mask] |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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398 df2 = df2.loc[:, mask] |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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|
399 |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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400 pos_label = params["plotting_selection"]["pos_label"].strip() or None |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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|
401 |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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|
402 if plot_type == "pr_curve": |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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|
403 if plot_format == "plotly_html": |
31
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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|
404 visualize_pr_curve_plotly(df1, df2, pos_label, title=title) |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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|
405 else: |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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|
406 visualize_pr_curve_matplotlib(df1, df2, pos_label, title) |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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|
407 else: # 'roc_curve' |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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408 drop_intermediate = params["plotting_selection"]["drop_intermediate"] |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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409 if plot_format == "plotly_html": |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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|
410 visualize_roc_curve_plotly( |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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411 df1, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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412 df2, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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413 pos_label, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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414 drop_intermediate=drop_intermediate, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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415 title=title, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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416 ) |
31
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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417 else: |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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418 visualize_roc_curve_matplotlib( |
35
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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419 df1, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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420 df2, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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421 pos_label, |
31
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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422 drop_intermediate=drop_intermediate, |
35
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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423 title=title, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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424 ) |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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425 |
31
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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426 return 0 |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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427 |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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428 elif plot_type == "rfecv_gridscores": |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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429 input_df = pd.read_csv(infile1, sep="\t", header="infer") |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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430 scores = input_df.iloc[:, 0] |
35
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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431 steps = params["plotting_selection"]["steps"].strip() |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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432 steps = safe_eval(steps) |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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433 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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434 data = go.Scatter( |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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435 x=list(range(len(scores))), |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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436 y=scores, |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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437 text=[str(_) for _ in steps] if steps else None, |
35
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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438 mode="lines", |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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439 ) |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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440 layout = go.Layout( |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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441 xaxis=dict(title="Number of features selected"), |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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442 yaxis=dict(title="Cross validation score"), |
37
e76f6dfea5c9
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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443 title=dict( |
e76f6dfea5c9
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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444 text=title or None, x=0.5, y=0.92, xanchor="center", yanchor="top" |
e76f6dfea5c9
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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445 ), |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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446 font=dict(family="sans-serif", size=11), |
31
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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447 # control backgroud colors |
35
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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448 plot_bgcolor="rgba(255,255,255,0)", |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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449 ) |
31
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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450 """ |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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451 # legend=dict( |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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452 # x=0.95, |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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453 # y=0, |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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454 # traceorder="normal", |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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455 # font=dict( |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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456 # family="sans-serif", |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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457 # size=9, |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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458 # color="black" |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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459 # ), |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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460 # bgcolor="LightSteelBlue", |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
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461 # bordercolor="Black", |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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462 # borderwidth=2 |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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463 # ), |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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464 """ |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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465 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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466 fig = go.Figure(data=[data], layout=layout) |
35
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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467 plotly.offline.plot(fig, filename="output.html", auto_open=False) |
31
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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468 # to be discovered by `from_work_dir` |
35
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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469 os.rename("output.html", "output") |
31
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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470 |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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471 return 0 |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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472 |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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473 elif plot_type == "learning_curve": |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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474 input_df = pd.read_csv(infile1, sep="\t", header="infer") |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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475 plot_std_err = params["plotting_selection"]["plot_std_err"] |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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476 data1 = go.Scatter( |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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477 x=input_df["train_sizes_abs"], |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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478 y=input_df["mean_train_scores"], |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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479 error_y=dict(array=input_df["std_train_scores"]) if plot_std_err else None, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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480 mode="lines", |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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481 name="Train Scores", |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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482 ) |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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483 data2 = go.Scatter( |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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484 x=input_df["train_sizes_abs"], |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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485 y=input_df["mean_test_scores"], |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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486 error_y=dict(array=input_df["std_test_scores"]) if plot_std_err else None, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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487 mode="lines", |
27
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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488 name="Test Scores", |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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|
489 ) |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
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490 layout = dict( |
35
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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491 xaxis=dict(title="No. of samples"), |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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492 yaxis=dict(title="Performance Score"), |
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493 # modify these configurations to customize image |
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494 title=dict( |
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495 text=title or "Learning Curve", |
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496 x=0.5, |
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497 y=0.92, |
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498 xanchor="center", |
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499 yanchor="top", |
31
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500 ), |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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501 font=dict(family="sans-serif", size=11), |
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502 # control backgroud colors |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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503 plot_bgcolor="rgba(255,255,255,0)", |
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504 ) |
31
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505 """ |
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506 # legend=dict( |
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507 # x=0.95, |
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508 # y=0, |
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509 # traceorder="normal", |
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510 # font=dict( |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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511 # family="sans-serif", |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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512 # size=9, |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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513 # color="black" |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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514 # ), |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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515 # bgcolor="LightSteelBlue", |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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516 # bordercolor="Black", |
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517 # borderwidth=2 |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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518 # ), |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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519 """ |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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520 |
27
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521 fig = go.Figure(data=[data1, data2], layout=layout) |
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522 plotly.offline.plot(fig, filename="output.html", auto_open=False) |
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523 # to be discovered by `from_work_dir` |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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524 os.rename("output.html", "output") |
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525 |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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526 return 0 |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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527 |
35
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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528 elif plot_type == "keras_plot_model": |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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529 with open(model_config, "r") as f: |
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530 model_str = f.read() |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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531 model = model_from_json(model_str) |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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532 plot_model(model, to_file="output.png") |
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533 os.rename("output.png", "output") |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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534 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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535 return 0 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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536 |
31
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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537 # save pdf file to disk |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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538 # fig.write_image("image.pdf", format='pdf') |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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539 # fig.write_image("image.pdf", format='pdf', width=340*2, height=226*2) |
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540 |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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541 |
35
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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542 if __name__ == "__main__": |
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543 aparser = argparse.ArgumentParser() |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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544 aparser.add_argument("-i", "--inputs", dest="inputs", required=True) |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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545 aparser.add_argument("-e", "--estimator", dest="infile_estimator") |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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546 aparser.add_argument("-X", "--infile1", dest="infile1") |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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547 aparser.add_argument("-y", "--infile2", dest="infile2") |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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548 aparser.add_argument("-O", "--outfile_result", dest="outfile_result") |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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549 aparser.add_argument("-o", "--outfile_object", dest="outfile_object") |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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550 aparser.add_argument("-g", "--groups", dest="groups") |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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551 aparser.add_argument("-r", "--ref_seq", dest="ref_seq") |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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552 aparser.add_argument("-b", "--intervals", dest="intervals") |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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553 aparser.add_argument("-t", "--targets", dest="targets") |
8e49f26b14d3
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554 aparser.add_argument("-f", "--fasta_path", dest="fasta_path") |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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555 aparser.add_argument("-c", "--model_config", dest="model_config") |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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556 args = aparser.parse_args() |
8e49f26b14d3
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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557 |
35
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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558 main( |
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559 args.inputs, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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560 args.infile_estimator, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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561 args.infile1, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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562 args.infile2, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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563 args.outfile_result, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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564 outfile_object=args.outfile_object, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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565 groups=args.groups, |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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566 ref_seq=args.ref_seq, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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567 intervals=args.intervals, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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568 targets=args.targets, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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569 fasta_path=args.fasta_path, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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570 model_config=args.model_config, |
eeaf989f1024
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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571 ) |