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kanalizacyjno-burzowej w czasie rzeczywistym jako usługa Saas oparta na danych pozyskanych metodami uczenia maszynowego \n\n# Welcome to the Time Series library\n\n[![Build status](https://travis-ci.org/carldata/timeseries.svg?branch=master)](https://travis-ci.org/carldata/timeseries)\n[![Maven Central](https://maven-badges.herokuapp.com/maven-central/io.github.carldata/timeseries_2.12/badge.svg)](https://maven-badges.herokuapp.com/maven-central/io.github.carldata/timeseries_2.12)\n\nLibrary for processing Time Series.\n\n\n## Quick start\n \n Add the following dependency to the build.sbt\n ```scala\n libraryDependencies += \"io.github.carldata\" %% \"timeseries\" % \"0.7.0\"\n ```\n\nRunning benchmarks\n```bash\nsbt -mem 4000 run\n```\n\n# Features\n\n  * Basic functionality\n    * [x] Slicing series\n    * [x] Map, fold and filter\n    * [x] Integration\n    * [x] Differentiation\n    * [x] groupBy\n    * [x] Rolling window\n    * [x] Resampling \n    * [x] join and merge\n  * Calculate statistics\n    * [x] min, max\n    * [x] mean, variance and standard deviation\n    * [x] covariance and correlation\n    * [x] normalization\n  * IO\n    * [x] Read data to/from CSV string\n  * Generators\n    * [x] Constant series\n    * [x] Random noise\n    * [x] Random Walk\n    * [x] periodic pattern\n  * Metrics\n    * [x] MSE and RMSE between 2 series\n    * [x] MAE between 2 series\n    * [x] MAPE between 2 series\n    * [x] MAD between 2 series\n  * ARIMA\n    * [ ] Check is series is stationary\n    * [ ] AR(p) - Autoregressive\n    * [ ] I(d) - Integrate\n    * [ ] MA(q) - Moving average\n  * Advanced functionality\n    * [x] Finding sessions (periods of activity)\n\n\n\n# Join in!\n\nWe are happy to receive bug reports, fixes, documentation enhancements,\nand other improvements.\n\nPlease report bugs via the\n[github issue tracker](http://github.com/carl/timeseries/issues).\n\n\n\n# Redistributing\n\ntimeseries source code is distributed under the Apache-2.0 license.\n\n**Contributions**\n\nUnless you explicitly state otherwise, any contribution intentionally submitted\nfor inclusion in the work by you, as defined in the Apache-2.0 license, shall be\nlicensed as above, without any additional terms or conditions.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcarldata%2Ftimeseries","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcarldata%2Ftimeseries","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcarldata%2Ftimeseries/lists"}