MachineLearning | 机器学习 | Machine Learning library

I am trying to pass an object of key-value pairs with the value being an array of strings from a Child component to a Parent's state. These values will come from UI-Kitten's multi-select component and it'll be passed as an object to the Parent.

I understand how passing of data works between parent and child components and the usage of useEffect in a component for componentDidMount or any conditional fires of an effect. But this case is rather complex.

I could possibly dump the entire Child component into the Parent as I have tried replicating something similar and it works i.e. I get the object of key-value pairs updated whenever user selects/deselects an option from the multi-select. Hoping that I could take the Child-Parent so the Parent wouldn't clutter up as the Child component is pretty long.

I hope I could get some help with it. Thank you!

Parent Component (the state, technologyExperience, is not updating):

I'm trying to create new Azure Monitor Alert using PS script. I'm using MS documentation here: https://docs.microsoft.com/en-us/powershell/module/az.monitor/add-azmetricalertrulev2?view=azps-5.9.0

$condition = New-AzMetricAlertRuleV2Criteria -MetricName "SqlDbDtuUsageMetric" -MetricNameSpace "Microsoft.Sql/servers/databases" -TimeAggregation Average -Operator GreaterThan -Threshold 5

$act = New-AzActionGroup -ActionGroupId /subscriptions/{subscription_id}/resourceGroups/{resource_group}/providers/microsoft.insights/actionGroups/SqlDbDtuUsageAction

Add-AzMetricAlertRuleV2 -Name "SqlDbDtuUsageAlertGt5" -ResourceGroupName {resource_group} -WindowSize 00:05:00 -Frequency 00:05:00 -TargetResourceId "/subscriptions/{subscription_id}/resourceGroups/{resource_group}/providers/Microsoft.Sql/servers/{sql_server}/databases/vi{sql_db}" -Description "Alerting when max used DTU is > 20" -Severity 3 -ActionGroup $act -Condition $condition

WARNING: 09:04:18 - *** The namespace for all the model classes will change from Microsoft.Azure.Management.Monitor.Management.Models to Microsoft.Azure.Management.Monitor.Models in future releases. WARNING: 09:04:18 - *** The namespace for output classes will be uniform for all classes in future releases to make it independent of modifications in the model classes. VERBOSE: Performing the operation "Create/update an alert rule" on target "Create/update an alert rule: SqlDbDtuUsageAlertGt5 from resource group: vi-prod-be-cin-rg". Add-AzMetricAlertRuleV2 : Exception type: ErrorResponseException, Message: Couldn't find a metric named metric1. Make sure the name is correct. Activity ID: 3e7e537e-43fc-40ad-8a84-745df33e1668., Code: BadRequest, Status code:BadRequest, Reason phrase: BadRequest At line:1 char:1

• Add-AzMetricAlertRuleV2 -Name "SqlDbDtuUsageAlertGt5" -ResourceGroupN ...
• ...

I am deploying a custom pytorch model on AWS sagemaker, Following this tutorial. In my case I have few dependencies to install some modules.

I need pycocotools in my inference.py script. I can easily install pycocotool inside a separate notebook using this bash command,

%%bash

pip -g install pycocotools

But when I create my endpoint for deployment, I get this error that pycocotools in not defined. I need pycocotools inside my inference.py script. How I can install this inside a .py file

I have following clickListener on one of fragments

How do I implement a try and except on my python script, I am using the kubernetes python client to communicate with my GKE cluster. And I want to create a deployment if it doesn't exists. I am currently doing this (code below) but it doesn't seem to work as it returns an API exception error and the program crashes.

Here is my current implementation

I'm trying to run apache atlas on my local. There are several problem I have faced to. First, for clearance of how I have build the apache atlas I will describe the steps:

1. git clone https://github.com/apache/atlas
2. cd atlas
3. mvn clean install -DskipTests -X
4. mvn clean package -Pdist -DskipTests

It has been built without any error. Here is the project structure:

For a project I'm working on, I need to use ML.NET's CreatePredictionEngine method with emitted types for TSrc and TDst. I'm emitting those with System.Reflection.Emit.

Here's how I'm creating my dynamic prediction engine :

Here is the code:

So basically I am trying to analyse instagram accounts. I have scraped intagram using selenium and created a datafram which includes links to the post, number of likes and hashtags used. So in the data frame i have included list object in a cloumn and i awant to find the count of unique hashtags used in total.
This is how thw dataframe looks like.