0.16.0

Home

Installation
How to use this guide
Getting started
Support

User Guide

Tutorials
getML suite
Managing projects
Importing data
Annotating data
Data model
Preprocessing
Feature engineering
Predicting
Hyperparameter optimization
Deployment

API Documentation

Python API
- Project management
- Data handling
- Database
- Demo datasets
- getML engine
- Preprocessors
- Feature learning
  - FastPropModel
  - FastPropTimeSeries
  - MultirelModel
  - MultirelTimeSeries
  - RelboostModel
  - RelboostTimeSeries
  - RelMTModel
  - RelMTTimeSeries
  - aggregations
    - Avg
    - Count
    - CountAboveMean
    - CountBelowMean
    - CountDistinct
    - CountDistinctOverCount
    - CountMinusCountDistinct
    - First
    - Kurtosis
    - Last
    - Max
    - Median
    - Min
    - Mode
    - NumMax
    - NumMin
    - Q1
    - Q5
    - Q10
    - Q25
    - Q75
    - Q90
    - Q95
    - Q99
    - Skew
    - Stddev
    - Sum
    - TimeSinceFirstMaximum
    - TimeSinceFirstMinimum
    - TimeSinceLastMaximum
    - TimeSinceLastMinimum
    - Var
    - VariationCoefficient
    - fastprop
    - mapping
    - multirel
- Predictors
- Pipeline
- Hyperopt
Command line interface

About

getML

Docs »
Python API »
getml.feature_learning »
aggregations »
Q10

Q10¶

getml.feature_learning.aggregations.Q10 = 'Q10'¶: The 10%-quantile. Please note that this aggregation is not supported by MultirelModel and MultirelTimeSeries.

© Copyright The SQLNet Company GmbH

Term of Service | Privacy Policy | Imprint | About |