Predict - planktonsdm 0.0.7 documentation

Hide navigation sidebar
Hide table of contents sidebar
Back to top
Toggle table of contents sidebar

# Predict

Used to make predictions

class predict.predict(X_train, y, X_predict, model_config)
  Parameters:

    - X_train ({array-like, sparse matrix} of shape (n_samples, n_features)) – should be the same as the X used for tuning

    - y (array-like of shape (n_samples,) or (n_samples, n_outputs)) – should be the same as the y used for tuning

    - X_predict ({array-like, sparse matrix} of shape (n_samples, n_features)) – Features to predict on (i.e. gridded environmental data).

    - model_config (dictionary, default=None) –

      A dictionary containing:

      seed : int, used to create random numbers

      root: string, path to folder

      path_out: string, where predictions are saved

      path_in: string, where to find tuned models

      traits: string, file name of your trait file

      verbose: int, to set verbosity (0-3)

      n_threads: int, number of threads to use

      cv : int, number of cross-folds

      ensemble_config :

      clf_scoring :

      reg_scoring :

  make_prediction()

    Calculates performance of model(s) and exports prediction(s) to netcdf

    Notes

    If more than one model is provided, predictions are made for both invidiual models and an ensemble of the models.