torchdms
Contents:
Introduction
Installation
Tutorials
Command line interface
Specifying models
API Reference
torchdms
torchdms.analysis
torchdms.cli
torchdms.data
torchdms.evaluation
torchdms.loss
torchdms.model
torchdms.plot
torchdms.plot.beta_coefficients
torchdms.plot.build_2d_nonlinearity_df
torchdms.plot.build_geplot_df
torchdms.plot.df_with_named_columns_of_np_array
torchdms.plot.plot_2d_geplot
torchdms.plot.plot_error
torchdms.plot.plot_exploded_binarymap_dataframe_summary
torchdms.plot.plot_geplot
torchdms.plot.plot_heatmap
torchdms.plot.plot_observed_2d_scores
torchdms.plot.plot_svd
torchdms.plot.plot_svd_profiles
torchdms.plot.plot_test_correlation
torchdms.plot.pretty_breaks
torchdms.plot.series_min_max
torchdms.utils
torchdms
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torchdms
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torchdms.plot
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torchdms.plot.plot_observed_2d_scores
torchdms.plot.plot_observed_2d_scores
¶
torchdms.plot.
plot_observed_2d_scores
(
data
,
targets
,
out
)
[source]
¶
If a dataset has two targets, create a scatterplot of the scores.