The 'warm_start' parameter of IsolationForest must be an instance of 'bool' or an instance of 'numpy.bool_'. Got 0 instead.

[bitexeloop]

I am trying to test the Isolation Forest algorithm for anomaly detection, but I keep encountering an error. Despite setting the 'warm_start' parameter to 'False' in the dashboard (and also attempting with 'True'), the error persists.

[TzLiu]

Same here

[mondeepboruah29]

There is is a small bug in the isolation_forest.py file line no 65 I think.
self.model = IsolationForest(
n_estimators=params.n_estimators,
max_samples=params.max_samples,
contamination=params.contamination,
max_features=params.max_features,
bootstrap=params.bootstrap,
n_jobs=params.n_jobs,
random_state=params.random_state,
verbose=params.verbose,
warm_start=params.verbose,
)

    the corrected code should be warm_start=params.warm_start
    
 file path : **logai\algorithms\anomaly_detection_algo\isolation_forest.py**