Change log

v2.1.7

• 🔥 Change the README of an existing model using the python clien run.set_mlmodel_readme("./README.md", name="linear-regression, version="1.0.0").

v2.1.0

• 🔥 Add messages to execute block of codes on-demand. The messages can be triggered from the run's page in the web application.

with run.message("save-model") as msg:
    if not msg.content:
        msg.skip()
    model.save()

v2.0.32

• 🔥 Add run.set_metrics_group to automatically add a group to all metrics.

v2.0.31

• 🔥 Add run.rename to rename your run.
• 🔥 Support untitled runs run = Run(project="hectiq-ai/example") to create an untitled run.

v2.0.26

• 🔥 Add run.add_figure to support pushing matplotlib figures in a one liner.

v2.0.25

• 🔥 Add resume_upload parameter to run.add_mlmodel to support adding files to existing mlmodels.

v2.0.24

• 🔧 Support attributes autocomplete on Config.

v2.0.23

• 🔧 Fix threading issues occuring on logs.

v2.0.22

• 🔥 Add ConfigTemplate object that is a child of pydantic.BaseModel. It supports a help() method and to_config(). Use this object

v2.0.21

• 🔥 Create an app from the command line with hectiqlab create_app.

v2.0.20

• 🔧 Fix small issues with creating API keys. This version comes with a major improvements over how apps are created and handled.

v2.0.19

• 🔧 Fix issues with downloading app files using the command line.

v2.0.18

• Add run.clear_logs to clear the logs in the cloud.

v2.0.12

• Fix an issue with downloading datasets with a large number of files.

v2.0.11

• Adding the KerasCallback to track your metrics with a keras loop. See the documentation.