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    axiao
    @joostshao
    hi, every body, i know you are sleeping .
    i confused that h2o-flow is different with h2o-web in h2o-3
    for example:
    Steam.AdminListView = (_) ->
      _items = do nodes$
      _cloudView = null
      _timelineView = null
      _perfbarView = null
    /mnt/disk/DistributeML/h2o-web/src/main/steam/scripts/admin-list-view.coffee
    but i can not find the code in h2o-flow ...
    axiao
    @joostshao
    it really strange
    axiao
    @joostshao
    and i want the relationship between h2o-flow and h2o-web
    lo5
    @lo5
    h2o-web is a gradle sub-project within the h2oai/h2o-3 project.
    the source code for flow is at h2oai/h2o-flow
    the published releases from h2oai/h2o-flow are integrated into h2oai/h2o-3 when you run a gradle build.
    axiao
    @joostshao
    yes, i know it
    what i wonder is why not remove the stream coffeescript code ?
    it is not used at all
    calvertj
    @calvertj
    This message was deleted
    This message was deleted
    julian.zhang
    @JulianZhang
    Hi every one, How can I change a cell to other language? I find the example notebook can use sca(scala), but I can't find the way to change a cell to sca.
    Mateusz Dymczyk
    @mdymczyk
    @JulianZhang in the upper left corner there’s a small box with some letters, if it’s yellow then click on it once and then press q
    here’s a tutorial mentioning different modes http://www.h2o.ai/product/h2o-flow/guide/
    Mateusz Dymczyk
    @mdymczyk
    actually clicking on it will make it yellow (command mode) so just click it and press q :-)
    julian.zhang
    @JulianZhang
    I was using sparkling-water and firefox, I had try to press q but didn't work
    Mateusz Dymczyk
    @mdymczyk
    does it work if you try to switch to other cell types by pressing y or m?
    julian.zhang
    @JulianZhang
    Yes
    I can change the cell to CS , RAWor MD
    Mateusz Dymczyk
    @mdymczyk
    and still pressing q does nothing? which sparkling-water version are you using?
    I just download it today
    Mateusz Dymczyk
    @mdymczyk
    @JulianZhang which version of FF? I just downloaded the newest one plus SW1.6.3 and I can change to Scala without problem
    could you try upgrading FF if it’s not the latest version or try on Chrome?
    julian.zhang
    @JulianZhang
    Ok, my server just down few minutes ago, I will test it with Chrome later.
    thanks
    And where I can find a list for how many languages are support for flow?
    Ember Sabsalon
    @embersabsalon
    Hi, I tried using a web app that would access h20 flow using REST API routes and when I tried to delete a frame (it would delete the frame after predicting), this happens:
    Cross-Origin Request Blocked: The Same Origin Policy disallows reading the remote resource at http://139.59.249.87:54321/3/Frames/1i3uso. (Reason: CORS header 'Access-Control-Allow-Origin' missing).
    I'm using ruby rails in order to build the web app. Any advice?
    I used this route: DELETE /3/Frames/{frame_id}
    and this coffee script is used:
    deleteUploadFrame = (frame_id) ->
    $.ajax
    url: "http://139.59.249.87:54321/3/Frames/#{frame_id}"
    method: 'DELETE'
    Mateusz Dymczyk
    @mdymczyk
    @embersabsalon are you running your coffeescript script from a different domain than the H2O server is running in? in that case you’d need to use JSONP for cross domain communication but I’m not sure if our REST service supports that, maybe someone else from the team could answer that part
    Ember Sabsalon
    @embersabsalon
    Yes I'm running it from a different domain
    I'll try using JSONP for this. Thank you so much
    s3ni0r
    @s3ni0r
    Hi everyone, is it possible to protect H20 flow UI with an HTTP authentication mechanism?
    Mateusz Dymczyk
    @mdymczyk
    @s3ni0r yes, please check the documentation http://docs.h2o.ai/h2o/latest-stable/h2o-docs/security.html
    s3ni0r
    @s3ni0r
    Yep :), i used this http://docs.h2o.ai/h2o/latest-stable/h2o-docs/security.html#hash-file-h2o-client-side, hash file method which seems the simplest, thank you very much!
    Deepak Singh Rawat
    @deepak_s_rawat_twitter
    Hi, Does anyone know when will flow support MOJOs?
    Erin LeDell
    @ledell
    @deepak_s_rawat_twitter I don’t have an estimate, but you can follow the progress here: https://0xdata.atlassian.net/browse/PUBDEV-3365
    Deepak Singh Rawat
    @deepak_s_rawat_twitter
    Thank you @ledell !
    Micah Stubbs
    @micahstubbs
    Flow now supports MOJOs
    Deepak Singh Rawat
    @deepak_s_rawat_twitter
    Hi, I wanted to know is there a way to print probabilities of a binary classification?
    Data Scientist
    @JayKimBravekjh
    Hi everyone. I joined this room first time today, nice to meet you all
    Sooraj S
    @sooraj2189
    Hello i am having a problem with h2o deepwater

    While trying to train a lenet model for multiclass classification using h2o deepwater using mxnet backed i am getting the following errors:

    Loading H2O mxnet bindings.
    Found CUDA_HOME or CUDA_PATH environment variable, trying to connect to GPU devices.
    Loading CUDA library.
    Loading mxnet library.
    Loading H2O mxnet bindings.
    Done loading H2O mxnet bindings.
    Constructing model.
    Done constructing model.
    Building network.
    mxnet data input shape: (32,100)
    [10:40:16] /home/jenkins/slave_dir_from_mr-0xb1/workspace/deepwater-master/thirdparty/mxnet/dmlc-core/include/dmlc/logging.h:235: [10:40:16] src/operator/./convolution-inl.h:349: Check failed: (dshape.ndim()) == (4) Input data should be 4D in batch-num_filter-y-x
    [10:40:16] src/symbol.cxx:189: Check failed: (MXSymbolInferShape(GetHandle(), keys.size(), keys.data(), arg_ind_ptr.data(), arg_shape_data.data(), &in_shape_size, &in_shape_ndim, &in_shape_data, &out_shape_size, &out_shape_ndim, &out_shape_data, &aux_shape_size, &aux_shape_ndim, &aux_shape_data, &complete)) == (0)

    The details of my setup :
    Ram : 12gb
    Graphics card : Nvidia 920mx driver version : 384.90
    Cuda : 8.0.61
    cudnn : 6.0
    R version : 3.4.3
    H2o version : 3.15.0.393 & h2o-R package : 3.16.0.2
    mxnet : 0.11.0
    Train data size : 400mb (when converting to the h2o frame object it comes around 800mb)

    Things i have done :
    1.) Gave enough memory to java heap while running h2o cluster (java -Xmx9g -jar h2o.jar)
    2.) Build the mxnet from source for gpu
    3.) Monitored the gpu and system via nvidia-smi and system monitor. At no point do they eat up all the ram to show "out of memory" issue. I still will be having around 2-3gb free before the error shows up
    4.) Have tried with tensorflow-gpu(build from source). Checking the pip list made sure that its installed but during model creation in R it gives the error :
    Error: java.lang.RuntimeException: Unable to initialize the native Deep Learning backend: null
    5.) The only method i got it the h2o deepwater to work with all the backend and gpu is through docker setup provided in the installation tutorials.

    I wanted the same functionality in my laptop instead of using docker. Any help or advice will be greatly appreciated !

    Paulo Haddad
    @paulochf

    hi guys

    i'm using flow and i would like to split the data into 3 parts: train, validation and test. that's easy.

    but, for the test split, i would like to drop the response column. is there any way to do that?

    thanks!

    Erin LeDell
    @ledell
    you don’t need to drop the response column from the test set, H2O will ignore it. if you are trying to use Flow as a data munging tool, its not meant for that so its not able to do much more than split the data (can’t remove columns and save csv)
    it’s easy to do that in R or Python though!