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Flowcean

Evaluation

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flowcean/flowcean

Flowcean
Research Project
Getting Started
User Guide
Examples
Reference

Flowcean

flowcean/flowcean

Flowcean
Research Project
Research Project
Getting Started
Getting Started
User Guide
User Guide
- Overview
- Modules
- Environment
- Transform
- Learning Strategies
- Model
- Evaluation
- Experiment
- Tools
Examples
Examples
Reference
Reference
- flowcean
  flowcean
  - cli
    
    cli
    
    logging
  - core
    
    core
    
    environment
    
    environment
    
    actable
    
    active
    
    chained
    
    incremental
    
    observable
    
    offline
    
    stepable
    
    learner
    
    metric
    
    model
    
    transform
  - environments
    
    environments
    
    csv
    
    dataset
    
    hybrid_system
    
    json
    
    ode_environment
    
    parquet
    
    pytorch
    
    rosbag
    
    streaming
    
    train_test_split
    
    uri
    
    yaml
  - learners
    
    learners
    
    dummy_learner
    
    grpc
    
    grpc
    
    _generated
    
    _generated
    
    learner_pb2
    
    learner_pb2_grpc
    
    learner
    
    lightning
    
    linear_regression
    
    regression_tree
  - metrics
    
    metrics
    
    classification
    
    regression
    
    report
  - models
    
    models
    
    pytorch
    
    sklearn
  - strategies
    
    strategies
    
    active
    
    incremental
    
    offline
  - transforms
    
    transforms
    
    cast
    
    explode
    
    flatten
    
    function
    
    match_sampling_rate
    
    one_hot
    
    rechunk
    
    rename
    
    resample
    
    select
    
    signal_filter
    
    sliding_window
    
    standardize
    
    time_window
    
    to_time_series
  - utils
    
    utils
    
    build_environments_from_directory
    
    is_time_series
    
    random

Evaluation

Evaluation

Todo

Theoretically applicable to all strategies (currently only implemented for OfflineEnvironment)

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