TypeError: unhashable type: 'list' when preparing index of labels for MultiLabelBinarizer

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multilabel stratification cross-validation scikit-learn multilabel-classification

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  • iterative-stratification

    scikit-learn cross validators for iterative stratification of multilabel data

    • I need to create this so I can encode the Labels and run iterative stratification as detailed [here](https://github.com/trent-b/iterative-stratification). Once I have the index prepared, i will run MultiLabelBinarizer to encode the "Labels" list and create a matrix of those values. I will then run the stratification sampling algorithm on that matrix to determine zero-based train and test indices. The code I have below is causing an error.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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