New Features in MLflow v0.6.0
Today, we’re excited to announce MLflow v0.6.0 , released early in the week with new features. Now available on PyPI and Maven...
Identify Suspicious Behavior in Video with Databricks Runtime for Machine Learning
With the exponential growth of cameras and visual recordings, it is becoming increasingly important to operationalize and automate the process of video identification...
MLflow On-Demand Webinar and FAQ Now Available!
On August 30th, our team hosted a live webinar— Introducing MLflow: Infrastructure for a complete Machine Learning lifecycle —with Matei Zaharia, Co-Founder and...
Introducing Flint: A time-series library for Apache Spark
This is a joint guest community blog by Li Jin at Two Sigma and Kevin Rasmussen at Databricks; they share how to use...
Building the Fastest DNASeq Pipeline at Scale
In June, we announced the Unified Analytics Platform for Genomics with a simple goal: accelerate discovery with a collaborative platform for interactive genomic...
Introducing Cluster-scoped Init Scripts
This summer, I worked at Databricks as a software engineering intern on the Clusters team. As part of my internship project, I designed...
By Customer Demand: Databricks and Snowflake Integration
Today, we are proud to announce a partnership between Snowflake and Databricks that will help our customers further unify Big Data and AI...
Announcing Databricks Runtime 4.3
I'm pleased to announce the release of Databricks Runtime 4.3, powered by Apache Spark. We've packed this release with an assortment of new...
How to Use MLflow to Experiment a Keras Network Model: Binary Classification for Movie Reviews
In the last blog post , we demonstrated the ease with which you can get started with MLflow , an open-source platform to...
New Features in MLflow v0.5.2 Release
Today, we’re excited to announce MLflow v0.5.0, MLflow v0.5.1, and MLflow v0.5.2, which were released last week with some new features. MLflow 0.5.2...