Bivariate Analysis — Dataiku DSS 13 documentation

Drift analysis — Dataiku DSS 13 documentation

You are viewing the documentation for version 13 of DSS. » MLOps ... Univariate Data Drift · Feature Drift Importance · Prediction Drift · Performance ...

Formula language — Dataiku DSS 13 documentation

Reading column values¶. In almost all formulas, you'll need to read the values of the columns for the current row. When the column has a “simple” name (i.e: ...

Fit curves and distributions — Dataiku DSS 13 documentation

2D Fit Distribution¶ ../_images/fit-2d.png. The 2D Fit Distribution card visualizes the density of bivariate distributions by plotting the kernel density ...

Metrics — Dataiku DSS 13 documentation

The metrics system in DSS allows you to automatically compute measurement on Flow items (datasets, managed folders, and saved models).

SQL recipes — Dataiku DSS 13 documentation

In a SQL script recipe, DSS can not perform the same level of query analysis as in a SQL query recipe. Therefore, there is no “display first rows” button and ...

Individual prediction explanations — Dataiku DSS 13 documentation

Dataiku DSS provides the capability to compute individual explanations of predictions for all Visual ML models that are trained using the Python backend.

MLflow Models — Dataiku DSS 13 documentation

Analyzing drift on the MLflow model. Governing the MLflow model using the Govern Node. Note. The MLflow model import feature is supported, and Dataiku tests ...

Model report — Dataiku DSS 13 documentation

... analysis. Only models that have been deployed to the Flow can be put in a model report insight. For more information, see Machine learning. Publishing a ...

Connecting to data — Dataiku DSS 13 documentation

The first task when using Data Science Studio is to define datasets to connect to your data sources. A dataset is a series of records with the same schema.

Formatting — Dataiku DSS 13 documentation

By default, DSS chooses how to format numbers based on available data for both axes and measures/numerical dimensions.

Security — Dataiku DSS 13 documentation

You are viewing the documentation for version 13 of DSS. » Security Open page in a new tab. Security¶.

Pre versions — Dataiku DSS 13 documentation

You are viewing the documentation for version 13 of DSS. Pre versions: Version 0.8, V0.8.1 - January 18th, 2014, Fix for single-file HDFS datasets.

Introduction — Dataiku DSS 13 documentation

Time series forecasting is used when you have a time-dependent target variable that you want to forecast.

Labeling — Dataiku DSS 13 documentation

The idea of labeling is for one or more humans to specify the ground truth associated with a given entry such as an image, a text or a row from a dataset.

Shared objects — Dataiku DSS 13 documentation

“Analyse” in explore on the full data (only on the sample). Managed folder¶. Analysts of project B can: View the contents of the folder. Use it ...

Dashboard concepts — Dataiku DSS 13 documentation

Activity summary reports of a DSS project. A button to run a DSS macro. Each insight lives independently from dashboards and can be attached on multiple ...

Model Document Generator — Dataiku DSS 13 documentation

... documentation. If you delete your visual analysis and then generate a document from a saved model, any placeholders starting with the keyword design will ...

Wikis — Dataiku DSS 13 documentation

If you are running Dataiku Cloud Stacks, you do not need any setup. Interactive usage¶. Export an article directly from a wiki article. ../_images/manual-wiki- ...

Reshaping — Dataiku DSS 13 documentation

You are viewing the documentation for version 13 of DSS. ... data. DSS provides the following reshaping processors. Split and Fold. Fold multiple columns.

Deep Learning — Dataiku DSS 13 documentation

Introduction · Your first deep learning model · Create a code environment with the required packages · Create a Deep Learning analysis to solve a Prediction ...