Product Feedback

  • Hot ideas
  • Top ideas
  • New ideas
  • My feedback
  1. TensorFlow 1.13.1 (stable) in ML 5.4

    TensorFlow 1.13.1 contains major bugfixes compared to 1.12.0, here are some highlights:
    * TensorFlow GPU binaries are now built against CUDA 10 and TensorRT 5.0.
    (This is extremely important to leverage the full capabilities of V100 GPUs)
    * Fixes a potential security vulnerability where carefully crafted GIF images can produce a null pointer dereference during decoding
    * Improve performance of GPU cumsum/cumprod by up to 300x.

    Any loads more, but these 3 are enough to warrant an upgrade, not to mention compatibility ops and renaming that make models less prone to breaking in TF 2.0

    3 votes
    Vote
    Sign in
    (thinking…)
    Sign in with: Facebook Google
    Signed in as (Sign out)
    You have left! (?) (thinking…)
    completed  ·  7 comments  ·  External libraries / applications  ·  Flag idea as inappropriate…  ·  Admin →
  2. Keep common python packages up-to-date in default machine image

    Some of the common python packages (e.g., scipy, numpy, and scikit-learn) came with the Databricks default machine image were out-of-date. It will be great if Databricks can keep these commonly used python packages up-to-date in the default machine image.

    11 votes
    Vote
    Sign in
    (thinking…)
    Sign in with: Facebook Google
    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  External libraries / applications  ·  Flag idea as inappropriate…  ·  Admin →
  3. Support for Bokeh and Plotly for Python visualization libraries

    I unsuccessfully tried many times to add this libraries for awesome visualization and wasn't able to make it work.
    For the sake of great visualizations these two libraries should be included by default or at least allow users to successfully using on the notebooks.

    26 votes
    Vote
    Sign in
    (thinking…)
    Sign in with: Facebook Google
    Signed in as (Sign out)
    You have left! (?) (thinking…)
    5 comments  ·  External libraries / applications  ·  Flag idea as inappropriate…  ·  Admin →
  4. Better BLAS library was installed on all the nodes

    It would be good to have something like OpenBLAS compiled and installed on all the Spark nodes by default. https://github.com/xianyi/OpenBLAS

    This can make a bunch of ML workloads run much faster

    9 votes
    Vote
    Sign in
    (thinking…)
    Sign in with: Facebook Google
    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  External libraries / applications  ·  Flag idea as inappropriate…  ·  Admin →
  5. Installation of custom libraries

    Be able to install custom libraries (in addition to just Java and Python libraries)

    6 votes
    Vote
    Sign in
    (thinking…)
    Sign in with: Facebook Google
    Signed in as (Sign out)
    You have left! (?) (thinking…)
    1 comment  ·  External libraries / applications  ·  Flag idea as inappropriate…  ·  Admin →

    We now support running a script on every node of a cluster when it’s launched. That script can then run arbitrary shell commands, e.g. download and install arbitrary libraries. The script has to be located in DBFS (Databricks FileSystem). Please contact a field engineer at Databricks for help to set this up.

  6. Allow organizing libraries in a given folder

    Provide the ability for users to organize their uploaded libs inside a folder. Putting everything in the Workspace root folder is very confusing.

    1 vote
    Vote
    Sign in
    (thinking…)
    Sign in with: Facebook Google
    Signed in as (Sign out)
    You have left! (?) (thinking…)
    completed  ·  0 comments  ·  External libraries / applications  ·  Flag idea as inappropriate…  ·  Admin →
  • Don't see your idea?

Feedback and Knowledge Base