csv
files.reference
is the path to the reference data,current
is the path to the current data,output
is the path to the output folder,config
is the path to the configuration file,pretty_print
to print the JSON profile with indents (for profile only).data_drift
to estimate the data drift,num_target_drift
to estimate target drift for the numerical targetcat_target_drift
to estimate target drift for the categorical targetregression_performance
to explore the performance of a regression modelclassification_performance
to explore the performance of a classification modelprob_classification_performance
to explore the performance of a probabilistic classification modelconfig.json
file or a config.yaml
file. This file configures the way of reading your input data and the type of the report.csv
files with headers and there is no date
column in the data.csv
files with headers and datetime
column. We also specified the column_mapping
dictionary, where we added information about the datetime
, target
and numerical_features
.none
- no sampling will be appliednth
- each Nth row of the file will be taken. This option works together with the n
parameter (see the example with the Dashboard above)random
- random sampling will be applied. This option works together with ratio
parameter (see the example with the Profile above)