seglearn
1.2.5

Getting Started

  • Install and contribution

Documentation

  • User Guide
  • API Documentation
  • Change Log

Tutorial - Examples

  • General examples
    • Simple FeatureRepMix Example
    • Linear Discriminant Analysis
    • Pipeline using Time Series Padding and Truncation
    • Working with Time Series Data
    • Classifying Segments Directly with a Neural Network
    • Continuous Target and Time Series Regression
    • Hyperparameter Selection 1
    • Time Series Forecasting
    • Basic Feature Representation Classification Pipeline
    • Hyperparameter Selection 2
    • Plotting Neural Network Training Curves
    • Resampling Time Series Data
    • Scoring Time Series Estimators

Addtional Information

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General examples¶

General-purpose and introductory examples for the seglearn toolbox.

../_images/sphx_glr_plot_feature_rep_mix_example_thumb.png

Simple FeatureRepMix Example¶

../_images/sphx_glr_plot_lda_thumb.png

Linear Discriminant Analysis¶

../_images/sphx_glr_plot_padtrunc_thumb.png

Pipeline using Time Series Padding and Truncation¶

../_images/sphx_glr_plot_watchdata_thumb.png

Working with Time Series Data¶

../_images/sphx_glr_plot_segment_rep_thumb.png

Classifying Segments Directly with a Neural Network¶

../_images/sphx_glr_plot_regression_thumb.png

Continuous Target and Time Series Regression¶

../_images/sphx_glr_plot_model_selection1_thumb.png

Hyperparameter Selection 1¶

../_images/sphx_glr_plot_forecast_thumb.png

Time Series Forecasting¶

../_images/sphx_glr_plot_feature_rep_thumb.png

Basic Feature Representation Classification Pipeline¶

../_images/sphx_glr_plot_model_selection2_thumb.png

Hyperparameter Selection 2¶

../_images/sphx_glr_plot_nn_training_curves_thumb.png

Plotting Neural Network Training Curves¶

../_images/sphx_glr_plot_interp_thumb.png

Resampling Time Series Data¶

../_images/sphx_glr_plot_scoring_thumb.png

Scoring Time Series Estimators¶

Download all examples in Python source code: auto_examples_python.zip

Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

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