This is a wrapper of Deeplearning4J library designed especially for time-series classification and prediction using (one-dimensional) convolutional neural networks and LSTMs.

• Classification of walking (gait) time series - classification of WISDM data set into 6 activities/categories (e.g., walking, standing, and jogging) using CNNs

All you need is Scala 2.11. To pull the library you have to add the following dependency to build.sbt

"org.in-cal" %% "incal-dl4j" % "0.3.0"

or to pom.xml (if you use maven)

<dependency>
    <groupId>org.in-cal</groupId>
    <artifactId>incal-dl4j_2.11</artifactId>
    <version>0.3.0</version>
</dependency>

Development of this library has been significantly supported by a one-year MJFF Grant (2018-2019): Scalable Machine Learning And Reservoir Computing Platform for Analyzing Temporal Data Sets in the Context of Parkinson’s Disease and Biomedicine