Mercurial > repos > bgruening > sklearn_pairwise_metrics
diff ml_visualization_ex.py @ 32:3afb10806f52 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 02087ce2966cf8b4aac9197a41171e7f986c11d1-dirty"
author | bgruening |
---|---|
date | Wed, 02 Oct 2019 03:23:25 -0400 |
parents | 938008a83b89 |
children | 8e9ec9713c21 |
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--- a/ml_visualization_ex.py Fri Sep 13 11:52:30 2019 -0400 +++ b/ml_visualization_ex.py Wed Oct 02 03:23:25 2019 -0400 @@ -146,7 +146,8 @@ precision["micro"], recall["micro"], _ = precision_recall_curve( df1.values.ravel(), df2.values.ravel(), pos_label=pos_label) ap['micro'] = average_precision_score( - df1.values, df2.values, average='micro', pos_label=pos_label or 1) + df1.values, df2.values, average='micro', + pos_label=pos_label or 1) data = [] for key in precision.keys(): @@ -201,7 +202,7 @@ ) data.append(trace) - trace = go.Scatter(x=[0, 1], y=[0, 1], + trace = go.Scatter(x=[0, 1], y=[0, 1], mode='lines', line=dict(color='black', dash='dash'), showlegend=False)