timebasedcv
iterative-stratification
| timebasedcv | iterative-stratification | |
|---|---|---|
| 1 | 1 | |
| 14 | 817 | |
| - | - | |
| 7.1 | 0.0 | |
| 7 days ago | almost 2 years ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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timebasedcv
iterative-stratification
-
TypeError: unhashable type: 'list' when preparing index of labels for MultiLabelBinarizer
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.
What are some alternatives?
tods - TODS: An Automated Time-series Outlier Detection System
datatap-python - Focus on Algorithm Design, Not on Data Wrangling
sktime - A unified framework for machine learning with time series
auto-sklearn - Automated Machine Learning with scikit-learn
aeon - A toolkit for machine learning from time series
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
tslearn - The machine learning toolkit for time series analysis in Python
Dask - Parallel computing with task scheduling
TSCV - Time Series Cross-Validation -- an extension for scikit-learn
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).