Metadata-Version: 2.1
Name: timestamp2vec
Version: 0.0.21
Summary: Vectorizing Timestamps by means of a Variational Autoencoder
Home-page: https://github.com/GideonRouwendaal/Timestamp2Vec
Author: Gideon Rouwendaal
Author-email: <gideon.rouwendaal@gmail.com>
License: UNKNOWN
Description: # Timestamp2Vec
        The Timestamp2Vec model consists of 2 parts: a feature extractor and an encoder, which is originally part of a variational autoencoder (VAE). The input of Timestamp2Vec is a timestamp, or multiple timestamps, in the shape YYYY-MM-DD HH:MM:SS and is of type String. The String(s) should be placed inside a list. The output of the model is a numpy array of shape (1, 8). To make use of Timestamp2Vec, install the package first. Afterward, import the model using "from timestamp2vec.Timestamp2Vec import Timestamp2Vec". Next, instanciate an instance of the model, for example: "timestamp2vec = Timestamp2Vec()". Finally, feed the model a list of timestamp(s) to obtain the vector(s). <br>
        Please see the GitHub page (Homepage) to see an example.
Keywords: python,vector,time,timestamps
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
