Metadata-Version: 2.1
Name: sliding-window-generator
Version: 1.0.0
Summary: Generate Sliding Window from Time Series Dataset
Home-page: https://github.com/anencore94/SlidingWindowGenerator
Author: Jaeyeon Kim
Author-email: anencore94@gmail.com
License: UNKNOWN
Description: # SlidingWindowGenerator
        - based on tensorflow v2.3.0
            - use [timeseries_dataset_from_array function](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/timeseries_dataset_from_array) which was introduced in tf v2.3.0 
        - This module converts time series data from dataframe type to sliding window type
            - to use as input in RNN based layer
        - This module was based on [tensorflow official docs](https://www.tensorflow.org/tutorials/structured_data/time_series#data_windowing), just aggregate some functions and add small tuning to use it more efficiently.
            - to make it possible to control batch_size, sequence_stride_size and shuffle more freely.
        - Module is in `./src/sliding_window_generator.py` and the example of how to use it is in `./src/example.ipynb`
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
