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astrodata documentation
astrodata documentation

Getting Started

  • Introduction
  • Getting Started

Tutorial

  • data
    • Overview
    • loaders
    • processors
    • Data Pipeline
  • pre-machine learning
    • Overview
    • processors
    • PremlPipeline
  • machine learning
    • models
    • model selection
    • metrics
  • tracking
    • git
    • DVC
    • Model Tracking
  • Configuration Reference
  • Extending astrodata

Python API

  • astrodata.data package
    • astrodata.data.loaders package
    • astrodata.data.processors package
  • astrodata.preml package
    • astrodata.preml.processors package
  • astrodata.ml package
    • astrodata.ml.metrics package
    • astrodata.ml.model_selection package
    • astrodata.ml.models package
  • astrodata.tracking package

Python Examples

  • astrotaxi/0_astrotaxi_example.py
  • astrotaxi/step1_data_import.py
  • astrotaxi/step2_preml.py
  • astrotaxi/step3_ml.py
  • data/1_data_example.py
  • data/2_preml_example.py
  • data/3_torch_data.py
  • ml/10_pytorch_hp_example.py
  • ml/11_pytorch_mlflow_example.py
  • ml/12_pytorch_freeze_train.py
  • ml/13_pytorch_resnet18.py
  • ml/14_pytorch_save_example.py
  • ml/1_sklearn_example.py
  • ml/2_multimodel_example.py
  • ml/3_gridsearch_example.py
  • ml/4_hyperopt_example.py
  • ml/5_mlflow_simple_example.py
  • ml/6_mlflow_gs_example.py
  • ml/7_mlflow_hp_example.py
  • ml/8_pytorch_example.py
  • ml/9_pytorch_gs_example.py
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pre-machine learningΒΆ

  • Overview
  • processors
    • Abstract Class
    • How to Use
      • Creating a Premlprocessor
      • Using built-in Processors
        • TrainTestSplitter
        • OHE (OneHotEncoder)
        • MissingImputator
        • Standardizer
  • PremlPipeline
    • Overview
    • Example Usage
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