use new table format for defaults

docs/_source/defaults.rst

@@ -4,74 +4,8 @@ Defaults
 In this section, we explain which parameters are set by MLAir during the :py:`ExperimentSetup` if not specified by the
 user. This is important information for example if a new :ref:`Custom Data Handler` is implemented.
 
-================================= ======================== ============================================================
-parameter                         default                  comment
-================================= ======================== ============================================================
-batch_path
-batch_size                        :py:`512`
-bootstrap_path
-competitor_path
-competitors                       :py:`[]`
-create_new_bootstraps             :py:`False`
-create_new_model                  :py:`True`
-data_handler                      :py:`DefaultDataHandler`
-data_origin
-data_path
-debug                             ``-``                    MLAir checks if it is running in debug mode and stores this
-dimensions
-end                               :py:`"2017-12-31"`
-epochs                            :py:`20`                 This is just a placeholder to prevent unintended longish training
-evaluate_bootstraps               :py:`True`               Bootstrapping can take some time.
-experiment_name
-experiment_path
-extreme_values                    :py:`None`
-extremes_on_right_tail_only       :py:`False`              Could be used for skew distributions
-forecast_path
-fraction_of_training
-hostname
-hpc_hosts
-interpolation_limit               :py:`1`
-interpolation_method              :py:`"linear"`
-logging_path
-login_nodes
-model_class
-model_path
-neighbors
-number_of_bootstraps
-overwrite_local_data
-permute_data                      :py:`False`
-plot_list
-plot_path
-start                             ``"1997-01-01"``
-stations
-statistics_per_var
-target_dim
-target_var
-test_start
-test_end
-test_min_length
-time_dim
-train_model
-train_end
-train_min_length
-train_start
-transformation                    :py:`{}`                 implement all further transformation functionality
-                                                           inside your custom data handler
-use_all_stations_on_all_data_sets
-use_multiprocessing               :py:`True`               is used if MLAir is not running in debug mode
-use_multiprocessing_on_debug      :py:`False`              is used if MLAir is running in debug mode
-upsampling
-val_end
-val_min_length
-val_start
-variables
-window_history_size               :py:`13`
-window_lead_time                  :py:`3`
-================================= ======================== ============================================================
 
-
-
-.. list-table:: Title
+.. list-table:: Defaults Overview
    :widths: 25 25 50
    :header-rows: 1
 
@@ -84,6 +18,171 @@ window_lead_time                  :py:`3`
    * - batch_size
      - :py:`512`
      -
+   * - bootstrap_path
+     -
+     -
+   * - competitor_path
+     -
+     -
+   * - competitors
+     - :py:`[]`
+     -
+   * - create_new_bootstraps
+     - :py:`False`
+     -
+   * - create_new_model
+     - :py:`True`
+     -
+   * - data_handler
+     - :py:`DefaultDataHandler`
+     -
+   * - data_origin
+     -
+     -
+   * - data_path
+     -
+     -
    * - debug
      - ``-``
-     - MLAir checks if it is running in debug mode and stores this
+     - MLAir checks if it is running in debug mode and stores this dimensions
+   * - end
+     - :py:`"2017-12-31"`
+     -
+   * - epochs
+     - :py:`20`
+     - This is just a placeholder to prevent unintended longish training
+   * - evaluate_bootstraps
+     - :py:`True`
+     - Bootstrapping may take some time.
+   * - experiment_name
+     -
+     -
+   * - experiment_path
+     -
+     -
+   * - extreme_values
+     - :py:`None`
+     -
+   * - extremes_on_right_tail_only
+     - :py:`False`
+     - Could be used for skewed distributions
+   * - forecast_path
+     -
+     -
+   * - fraction_of_training
+     -
+     -
+   * - hostname
+     -
+     -
+   * - hpc_hosts
+     -
+     -
+   * - interpolation_limit
+     - :py:`1`
+     -
+   * - interpolation_method
+     - :py:`"linear"`
+     -
+   * - logging_path
+     -
+     -
+   * - login_nodes
+     -
+     -
+   * - model_class
+     -
+     -
+   * - model_path
+     -
+     -
+   * - neighbors
+     -
+     -
+   * - number_of_bootstraps
+     -
+     -
+   * - overwrite_local_data
+     -
+     -
+   * - permute_data
+     - :py:`False`
+     -
+   * - plot_list
+     -
+     -
+   * - plot_path
+     -
+     -
+   * - start
+     - :py:`"1997-01-01"`
+     -
+   * - stations
+     -
+     -
+   * - statistics_per_var
+     -
+     -
+   * - target_dim
+     -
+     -
+   * - target_var
+     -
+     -
+   * - test_start
+     -
+     -
+   * - test_end
+     -
+     -
+   * - test_min_length
+     -
+     -
+   * - time_dim
+     -
+     -
+   * - train_model
+     -
+     -
+   * - train_end
+     -
+     -
+   * - train_min_length
+     -
+     -
+   * - train_start
+     -
+     -
+   * - transformation
+     - :py:`{}`
+     - implement all further transformation functionality inside your custom data handler
+   * - use_all_stations_on_all_data_sets
+     -
+     -
+   * - use_multiprocessing
+     - :py:`True`
+     - is used if MLAir is not running in debug mode
+   * - use_multiprocessing_on_debug
+     - :py:`False`
+     - is used if MLAir is running in debug mode
+   * - upsampling
+     -
+     -
+   * - val_end
+     -
+     -
+   * - val_min_length
+     -
+     -
+   * - val_start
+     -
+     -
+   * - variables
+     -
+     -
+   * - window_history_size
+     - :py:`13`
+     -
+   * - window_lead_time
+     - :py:`3`
+     -