Machine Learning Hub
TrendMiner’s vision to democratize analytics goes beyond empowering domain experts with self-service tools, to also include closer collaboration between a variety of experts to solve problems. Some of the most complex problems require the introduction of data scientists who bring specialized techniques to the table that allow companies to squeeze the deepest insights out of the available data. Think about advanced statistics and machine learning models.
After a very successful trial program with notebooks, we are proud to announce the full launch of a new industrial Machine Learning Hub (MLHub) for timeseries data, extending analytic and machine learning capabilities of the production client of TrendMiner. With MLHub, (Citizen) Data Scientists can access TrendMiner data (both raw as well as pre-processed and contextualized data in TrendMiner views) and validate hypotheses; and/or create/train/deploy machine learning models in the new Notebook environment, which other TrendMiner users can then apply through machine learning model tags in TrendHub or visualize in DashHub.
This product launch includes the following:
Expert licenses now unlock the entirely new Machine Learning Hub, hosting advanced analytical tools and notebook technology.
A switch from Zeppelin (trial-program) to Jupyter Notebook ecosystem to have shorter update cycles and better support from the open source community.
Kernel isolation and resource management for improved stability and performance.
Enhanced security layer, allowing well-defined access control and role-based access to data sources for the entire MLHub functionality.
Create notebook output objects for easy visualization.
Machine learning model tags, based on PMML models.
Important
As from this release onwards:
Resource | Minimum | Minimum with Embedded Zementis Notebook & Machine Learning Model functionality | Recommended |
|---|---|---|---|
vCPU | 8 | 16 | 16 |
RAM | 32GB | 64GB | 64GB |
Disc | SSD, 200GB,250MB/s | SSD, 500GB,250MB/s | SSD, 500GB, 250MB/s |
Minimal free disk space to have a successful upgrade is minimum is 25GB
The max retention storage is set to 7GB, so this will help with managing the disk space. This does in fact mean we will keep metrics for a shorter time period