Metadata-Version: 2.1
Name: TimesML
Version: 0.0.1
Summary: This package is used for time series data analysis
Home-page: https://github.com/leodflag/TimesML
Author: leodflag
Author-email: lovedoglion5@gmail.com
License: UNKNOWN
Description: # TimesML
        ---
        ## About
        This package is used for time series data analysis. In the future, analysis methods such as statistical models and machine learning models will be incorporated so that users can easily use them.
        
        ## List of module
        #### Math
        * Statistics
        
            This module contains statistics calculation function.
        
        #### TimeSeriesAnalysis
        * Chart
        
            Time series data related drawing function.
        
        * Model
        
            This module contains time series models for forecasting.
        
        * ProcessData
        
            This module contains the access and processing methods of time series data.
        
        
        ## Simple example
        ```js
            import TimeSeriesAnalysis.ProcessData as Data
            import TimeSeriesAnalysis.Chart as Chart
            import TimeSeriesAnalysis.Model as model
            import Math.Statistics as math
        
            lags = 2
            col_name = 'close'
            file_path = 'test_data/TWD_unittest.csv'
            stock_id = 'TWD'
        
            # TimeSeriesAnalysis.ProcessData
            data = Data.read_file(file_path, col_name)
            train, test = Data.split_data(data, 0.7)
        
            #TimeSeriesAnalysis.Chart
            chart = Chart.chart(stock_id)
            chart.historocal_trend_line_chart(data)
        
            # TimeSeriesAnalysis.Model
            model = model.AutoRegressive(lags)
            model.fit(train)
            model.predict(test)
            print(model.mse)  # 0.12240460258063346
        ```
        [TimesML (github)](https://github.com/leodflag/TimesML)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.6
Description-Content-Type: text/markdown
