gr_app2/args.py

block = {
    'css':
        '''
        footer {visibility: hidden}
        
        .json_xgboost_params {
            max-height: 200px;
            overflow: scroll !important;
            }
        '''
}

md__title = {
    'value':
    """
    # Sentient.io - Time Series Forecasting
    ---
    """
}

md__fit_ready = {
    'value':
    """
    # Data Fitted...
    Ready for forecasting
    """
}

file__historical = {
    'label': 'Historical Data',
}


md__future = {
    'value': "Optional. Future data's columns must within historical data's columns, length of future data will determine the N Predict, which is the max model's predictability.",
}

file__future = {
    'label': 'Future Data (optional)',

    'show_label': True
}

number__n_predict = {
    'label': 'N Predict',
    'info': 'Number of future data point to predict, recommend set to 1 seasonal period (max 20). If future data is provided, N Predict will set to exact length of future data.',
    'interactive': True,
    'precision': 0
}

number__window_length = {
    'label': 'Window Length',
    'info': 'Window length for sliding window to build feature sets for prediction. Recommend set window length same as auto correlation (AR) lags. But feel free to adjust it.',
    'interactive': True,
    'precision': 0
}

textbox__target_column = {
    'label': 'Target Column',
    'info': 'Please provide the target column for forecasting. It must be one of the column in uploaded data. All other columns will be used as exogenous data.',
    'interactive': True,
}

df__table_view = {}


btn__fit_data = {
    'value': 'Fit Data To Models',
    'variant': 'primary'
}

btn__forecast_with_prophet = {
    'value': 'Forecast with Prophet',
    'variant': 'primary'
}

json_xgboost_params = {
    'elem_classes': 'json_xgboost_params'
}