Data:
  Input:
    batch_size: 64
    map: true
    num_parallel_calls: 1
    prefetch: true
    prefetch_buffer_size: 10
    shuffle: true
    shuffle_buffer_size: 10000
  Loading:
    cut_condition: (mc_energy > 1.0) & (h_first_int < 20000)
    example_type: array
    min_num_tels: 1
    seed: 1234
    selected_tel_ids:
    - 1
    - 2
    - 3
    - 4
    selected_tel_type: LST
    validation_split: 0.1
  Processing:
    bounding_box_sizes:
      MSTS: 48
    crop: false
    image_cleaning: twolevel
    normalization: null
    return_cleaned_images: false
    sort_images_by: null
    thresholds:
      MSTS:
      - 5.5
      - 1.0
  apply_processing: true
  file_list: /home/jsevillamol/Documentos/datasample/sample_files.txt
  format: HDF5
Image Mapping:
  hex_conversion_algorithm: oversampling
  padding:
    LST: 2
    MSTF: 1
    MSTN: 2
    MSTS: 4
    SST1: 1
    SSTA: 0
    SSTC: 0
    VTS: 1
Logging:
  model_directory: /home/jsevillamol/Documentos/output/logs/example_config
Model:
  Model Parameters:
    basic:
      batchnorm_decay: 0.99
      conv_block:
        batchnorm: false
        bottleneck: null
        layers:
        - filters: 32
          kernel_size: 3
        - filters: 64
          kernel_size: 3
        - filters: 128
          kernel_size: 3
        max_pool:
          size: 2
          strides: 2
      conv_head:
        batchnorm: false
        final_avg_pool: true
        layers:
        - filters: 64
          kernel_size: 3
        - filters: 128
          kernel_size: 3
        - filters: 256
          kernel_size: 3
      fc_head:
        batchnorm: false
        layers:
        - 1024
        - 512
        - 256
        - 128
        - 64
    cnn_rnn:
      cnn_block:
        function: conv_block
        module: basic
      dropout_rate: 0.5
      pretrained_weights: null
    single_tel:
      network:
        function: conv_block
        module: basic
      pretrained_weights: null
    variable_input_model:
      cnn_block:
        function: conv_block
        module: basic
      network_head:
        function: conv_head
        module: basic
      pretrained_weights: null
      telescope_combination: feature_maps
  model:
    function: cnn_rnn_model
    module: cnn_rnn
  model_directory: /home/jsevillamol/Documentos/ctlearn/models
Multiple Configurations Settings:
  num_grouped_range_values: 5
  run_combinations_path: /home/jsevillamol/Documentos/output/logs/example_config
Multiple Configurations Values:
  learning_rate:
    config:
    - Training
    - Hyperparameters
    - base_learning_rate
    value_type: range
    values:
      lower_bound: 1.0e-06
      num_values: null
      selection: random
      spacing: log
      upper_bound: 0.001
  multiplicity_cut:
    config:
    - Data
    - Loading
    - min_num_tels
    value_type: list
    values:
    - 1
    - 2
    - 3
    - 4
  network_type:
    config:
    - Model
    - model
    value_type: grouped
    values:
      CNN_RNN:
        function: cnn_rnn_model
        module: cnn_rnn
      variable_input:
        function: variable_input_model
        module: variable_input_model
  selected_telescopes:
    config:
    - Data
    - Loading
    - selected_tel_ids
    value_type: grouped
    values:
      LST:
      - 1
      - 2
      - 3
      - 4
      MSTN:
      - 30
      - 31
      - 32
      - 33
  telescope_sorting:
    config:
    - Data
    - Processing
    - sort_images_by
    value_type: grouped
    values:
      CNN_RNN: size
      variable_input: null
  telescope_type:
    config:
    - Data
    - Loading
    - selected_tel_type
    value_type: grouped
    values:
      LST: LST
      MSTN: MSTN
Prediction:
  export_as_file: true
  prediction_file_path: /home/jsevillamol/Documentos/output/predictions/prediction_example_config.csv
  true_labels_given: true
TensorFlow:
  run_TFDBG: false
Training:
  Hyperparameters:
    adam_epsilon: 1.0e-08
    apply_class_weights: false
    base_learning_rate: 0.001
    optimizer: Adam
    scale_learning_rate: false
    variables_to_train: null
  num_epochs: 0
  num_training_steps_per_validation: 1000