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Questions - isolation-forest

How to know which features causes anomalies while training isolation forest model

I'm training an unsupersived isolation forest model with a dataframe that contains 10 features , the model performs well and detect anomalies. My question is if an anomaly is catched i want to know wh...
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Bacem

machine-learning

unsupervised-learning

anomaly-detection

isolation-forest

Votes: 0

Answers: 1

Latest Answer

SHAP values and the shap library can be used for this. See this answer for an example. After getting the shap values out of the explainer for your datapoints, you can use the waterfall plots to see ho...
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Jon Nordby

numpy.core._exceptions.MemoryError: Unable to allocate 75.2 GiB for an array with shape (1, 10086709500) and data type float64

I am training IsolationForest for anomaly detection in amazon SageMaker using the following code:- def build_model(df, no_of_estimators, maximum_samples, error_percent, maximum_features): enco...
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nivedan gowda

python

machine-learning

amazon-sagemaker

isolation-forest

Votes: 0

Answers: 0

Unable to make multiple plotly graphs in for loop

See Image Here I am trying to make Plotly graphs for anomaly detection in time series using Isolation Forest. The problem is: only the plot of the last iteration in for loop apprears. Please help. imp...
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Pranoy bhattacharya

python

time-series

plotly

isolation-forest

Votes: 0

Answers: 1

Latest Answer

have coded placeholders for two functions used in your code create_model() and assign_model() you create fig = make_subplots(rows=len(float_range_list), cols=1) then in loop overwrite it with fig = p...
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Rob Raymond

How can update trained IsolationForest model with new datasets/datafarmes in python?

Let's say I fit IsolationForest() algorithm from scikit-learn on time-series based Dataset1 or dataframe1 df1 and save the model using the methods mentioned here & here. Now I want to update my mo...
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Mario

python

machine-learning

scikit-learn

isolation-forest

online-machine-learning

Votes: 0

Answers: 1

Latest Answer

You can simply reuse the .fit() call available to the estimator on the new data. This would be preferred, especially in a time series, as the signal changes and you do not want older, non-representati...
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artemis

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