validmind.fred

load_all_data

defload_all_data():

load_data

defload_data():

load_model

defload_model(model_name):

load_processed_data

defload_processed_data():

load_test_dataset

defload_test_dataset(model_name):

load_train_dataset

defload_train_dataset(model_path):

preprocess

defpreprocess(df,split_option='train_test_val',train_size=0.6,test_size=0.2):

Split a time series DataFrame into train, validation, and test sets.

Arguments

  • df (pandas.DataFrame): The time series DataFrame to be split.
  • split_option (str): The split option to choose from: 'train_test_val' (default) or 'train_test'.
  • train_size (float): The proportion of the dataset to include in the training set. Default is 0.6.
  • test_size (float): The proportion of the dataset to include in the test set. Default is 0.2.

Returns

  • train_df (pandas.DataFrame): The training set. validation_df (pandas.DataFrame): The validation set (only returned if split_option is 'train_test_val'). test_df (pandas.DataFrame): The test set.

transform

deftransform(df,transform_func='diff'):