I want to use other library like tensorflow in H2O flow UI.
how can i install and import new library?
I found this project
https://github.com/gdtm86/sparklingwater-examples/tree/master/h2o-examples-flow_ui
and I tried this code.
import org.apache.spark.sql.dataFrame
and this is error.
[stdin]:2:13: error: unexpected .
import org.apache.spark.sql.dataFrame
^
You can't install packages into Flow, Flow is simply the web UI that comes with H2O-3 (H2O-3 has multiple APIs). For more details on what Flow is please see the documentation. Note: Sparkling Water is H2O-3's integration with Spark.
Related
I used this package when I was strapi V3.
CSV was imported.
https://github.com/EdisonPeM/strapi-plugin-import-export-content
However, this package is not compatible with v4 and cannot be used.
Therefore, I would like to know how to import CSV in V4.
System Information
Strapi Version:4.1.5
Operating System: m1 mac monterey 12.1
Database: postgres
Node Version16.18.1:
NPM Version: 8.3.3
the last update of Strapi plugin to import and export to csv or json has been done 5 days ago go check:
https://market.strapi.io/plugins/strapi-plugin-import-export-entries#install-now-section
Been waiting for this fix to be published too for a while. I think the answer is in migrating plugin from v3 format
You can use the below plugin for importing/exporting csv and json.
https://market.strapi.io/plugins/strapi-plugin-import-export-entries
I'm using Google cloud composer which essentially gives you an Apache Airflow environment. Since my application is written in Golang, I was looking for a golang client library to create and execute DAGs in the Cloud Composer Airflow environment. Please let me know if there's any.
Thanks to your clarification, you can't! Indeed, Composer is a managed version of Apache Airflow, where dags are described in Python and in Python only.
You can reach the Composer/Airflow API with Go, you can generate Python code with Go and Go template. You can also define a custom Operator in Airflow which run a Go binary with the right parameters. However, the custom operator itself must be wrote in Python.
I received an email with the Title ^ as the subject. Says it all. I'm not directly using the specified endpoint (storage#v1). The project in question is a postback catcher that funnels data into BigQuery
App Engine > Pub Sub > Dataflow > Cloud Storage > BigQuery
Related question here indicates Dataflow might be indirectly using it. I'm only using the Cloud PubSub to GCS Text template.
What is the recommended course of action if I'm relying on a template?
I think the warning may come from a dataflow job which uses the old version of storage API. Please upgrade Dataflow/Beam SDK version beyond 2.5.
Since you're using our PubsubToText template. The easiest way to to it would be:
Stop your pipeline. Be sure to select "Drain" when asked.
Relaunch the pipeline using the newest version (which is automatically done if you're using UI), from the same subscription.
Check the SDK version. It should be at least 2.7.
After that you should not see any more warnings.
Using the guide on https://hyperledger.github.io/composer/installing/using-playground-locally.html
The shell script has downloaded Hyperledger Composer 0.8.0 and Fabric V1 Beta docker images.
When using the Playground on my browser I am unable to deploy/import any sample business network (tried marbles network).
With the error:
t: line 33 column 1, to line 36 column 2. Class TradeMarble is not declared as abstract. It must define an identifying field.
Error on Composer Playground
I know there is a newer version of Composer (0.8.1; with 0.9.0 coming really soon) and Fabric V1 RC1. Do I need to update Composer and Fabric runtime/images?
We are in the process of updating the samples to support Composer v0.9. When v0.9 is released the online Composer Playground will be updated and you will be able to import samples again.
Sorry for the inconvenience!
I'm attempting to implement automated tests in my parse server repository that I run in node.js in my development environment. However, it appears that some of the functions available in the parse cloud code SDK are not available in the NPM parse library. In particular, test code imports
Parse = require('parse/node');
And then my code calls Parse.Cloud.beforeSave. This causes the error Parse.Cloud.beforeSave is not a function. How can I get around this?
Edit:
I published an NPM library called parse-node-with-cloud that provides a Parse.Cloud object in node.js. I hope this will enable node.js unit tests of Parse cloud code.
===========
My solution to this is to use the parse-cloud-express library on NPM. Import it with
const Parse = require('parse-cloud-express').Parse;
Then Parse.Cloud functions will work as expected.
Unfortunately, the source code is no longer available on github and the module is likely no longer maintained.