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).

Metrics dataset — Dataiku DSS 13 documentation

Metrics dataset¶ · Type. The dataset contains computed metrics or the outcome of checks. · Scope. The dataset contains the metrics/checks for a specified object ...

Metric — Dataiku DSS 13 documentation

From the dashboard¶. Click on the + button to add tiles. Select metric, then select the data source for which you want to display a metric. If you only have ...

Metrics, checks and Data Quality — Dataiku DSS 13 documentation

Data Quality rules are an improvement over the check mechanism for datasets. They allow you to define expectations on a dataset's contents in a single step and ...

Dataiku DSS - Reference documentation — Dataiku DSS 13 ...

Dataiku DSS - Reference documentation¶ · The main documentation of the concepts, interfaces and features of Dataiku DSS · Information on how to install and ...

Evaluation Metrics — Dataiku DSS 13 documentation

For Object detection, the model will maximize the F1 score by default, which is a weighted average of the precision and recall. Depending on your use case, you ...

DSS 13 Release notes - Dataiku Documentation

New rule: “Compare values of two metrics”. This rule checks that two metrics defined on this dataset or on another dataset have the same value, or that one ...

Custom probes and checks — Dataiku DSS 13 documentation

DSS automatically infers the type of the metric's value, among DOUBLE, BOOLEAN, BIGINT, STRING and ARRAY, but in some cases one wants to explicitly specify ...

Checks — Dataiku DSS 13 documentation

The checks system is integrated with the metrics system in that checks have access to the last values of the metrics of the Flow item they check. Checks run as ...

DSS 13 Release notes - Dataiku Documentation

You are viewing the documentation for version 13 of DSS. ... Analysis and data preparation · Machine learning · Visual recipes · Easter eggs · DSS 1.4 Relase ...

Metrics and checks - Dataiku Developer Guide

dataiku.core.metrics.ComputedMetrics in the dataiku package. It was initially designed for usage within DSS. dataikuapi ...

Monitoring DSS — Dataiku DSS 13 documentation

Concepts · Historizing metrics. Install the dkumonitor service (optional). Configure DSS to push metrics. Prerequisites · Raising alerts. Monitoring the “get- ...

Experiment Tracking — Dataiku DSS 13 documentation

This may include parameters, performance metrics, models and any other data relevant to your project. In Dataiku, this can be done: visually, without coding ...

Metrics and checks - Dataiku Developer Guide

dataiku.core.metrics.ComputedMetrics in the dataiku package. It was initially designed for usage within DSS. dataikuapi.dss ...

Analyzing evaluation results — Dataiku DSS 13 documentation

A Model Evaluation Store contains several Model Evaluations. Each Model Evaluation may contain performance metrics and drift analysis.

Dashboard concepts — Dataiku DSS 13 documentation

A dataset table references a dataset · A chart references a dataset · A machine learning model report references the machine learning model · A DSS metric insights ...

How I Stumbled Upon Dataiku and Ended Up Mapping 13 Years of ...

While poking around, I stumbled upon Dataiku Data Science Studio (DSS) - no grand plan, just pure curiosity. Naturally, I wanted something I ...

dataiku-api-client-python/dataikuapi/dss/dataset.py at master - GitHub

Compute metrics on a partition of this dataset. If neither metric ids nor custom probes set are specified, the metrics.

Models evaluations — Dataiku DSS 13 documentation

Overview · Recipe configuration · Input dataset · Metrics · Custom metrics · LLM Evaluations · Comparisons.

Dataiku DSS for Your Analytics Organization | Aimpoint Digital

Checks are another DSS function built on top of Metrics, and are used to flag if there are any issues with the dataset. For example, you can set ...