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tpcp 2.3.0 documentation - Home

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  • Getting Started
  • User Guides
  • API Reference
  • Examples
  • Changelog
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Site Navigation

  • Getting Started
  • User Guides
  • API Reference
  • Examples
  • Changelog
  • GitHub

Section Navigation

  • Datasets
    • Custom Dataset - Basics
    • Custom Dataset - A real world example
    • The final ECG Example dataset
  • Algorithms
    • Algorithms - A real world example: QRS-Detection
    • The final QRS detection algorithms
  • Parameter Optimization
    • Grid Search optimal Algorithm Parameter
    • Optimizable Pipelines
    • GridSearchCV
    • Custom Optuna Optimizer
    • Build-in Optuna Optimizers
  • Validation
    • Validation
    • Cross Validation
    • Custom Scorer
    • Advanced cross-validation
    • Transforming training datasets
  • Framework Integrations
    • Tensorflow/Keras
  • Advanced Recipies
    • Caching
    • Dataclass and Attrs support
    • Composite-Algorithms and Pipelines
    • TypedIterator
    • Optimization Info
    • Pretrained models and predefined parameters
    • Warning and Error Context
  • Examples
  • Advanced Recipies

Advanced Recipies#

Caching

Caching

Dataclass and Attrs support

Dataclass and Attrs support

Composite-Algorithms and Pipelines

Composite-Algorithms and Pipelines

TypedIterator

TypedIterator

Optimization Info

Optimization Info

Pretrained models and predefined parameters

Pretrained models and predefined parameters

Warning and Error Context

Warning and Error Context
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