Time Series Generator

Description

Emulates Teras Tensorflow TimeSeriesGenerator functionality

Instalation

pip install time-series-generator

Usage

import numpy as np
from time_series_generator import TimeseriesGenerator

data = np.array([[i] for i in range(50)])
targets = np.array([[i] for i in range(50)])

data_gen = TimeSeriesGenerator(data, targets,
                                length=10, sampling_rate=2,
                                batch_size=2)
assert len(data_gen) == 20

batch_0 = data_gen[0]
x, y = batch_0
assert np.array_equal(x,
                        np.array([[[0], [2], [4], [6], [8]],
                                [[1], [3], [5], [7], [9]]]))
assert np.array_equal(y,
                        np.array([[10], [11]]))

Metadata

Release files for time-series-generator 0.0.4

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Source distribution for time-series-generator 0.0.4
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Built distribution (wheel)

Table of built distributions (wheels) for time-series-generator 0.0.4
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time_series_generator-0.0.4-py3-none-any.whl 5.5 kB Nov 4, 2020 Without provenance	Python 3	none	any	Details for time_series_generator-0.0.4-py3-none-any.whl

Total release size: 9.6 kB

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Release files / time_series_generator-0.0.4-py3-none-any.whl

Download URL	time_series_generator-0.0.4-py3-none-any.whl
Size	5.5 kB
Tags	Python 3
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Uploaded via	`twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.7`

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