IoT-Server | Script PHP untuk menyimpan data IoT dari device ke database

by komputronika PHP Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | IoT-Server Summary

IoT-Server is a PHP library. IoT-Server has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub, GitLab.

Script PHP untuk menyimpan data IoT dari device (misalnya: Arduino, Raspberry Pi, NodeMCU) ke database MySQL di sebuah server web hosting.

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Quality

Security

License

Reuse

Support

IoT-Server has a low active ecosystem.

It has 1 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

IoT-Server has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of IoT-Server is current.

Quality

IoT-Server has 0 bugs and 0 code smells.

Security

IoT-Server has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

IoT-Server code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

IoT-Server is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

IoT-Server releases are not available. You will need to build from source code and install.

It has 117 lines of code, 4 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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IoT-Server Key Features

No Key Features are available at this moment for IoT-Server.

IoT-Server Examples and Code Snippets

No Code Snippets are available at this moment for IoT-Server.

Community Discussions

Trending Discussions on IoT-Server

AzureML Environment for Inference : can't add pip packages to dependencies

PySpark ALSModel load fails in deployment over Azure ML service with error java.util.NoSuchElementException: Param blockSize does not exist

QUESTION

AzureML Environment for Inference : can't add pip packages to dependencies

Asked 2022-Jan-26 at 09:14

I can't find the proper way to add dependencies to my Azure Container Instance for ML Inference.

I basically started by following this tutorial : Train and deploy an image classification model with an example Jupyter Notebook

It works fine.

Now I want to deploy my trained TensorFlow model for inference. I tried many ways, but I was never able to add python dependencies to the Environment.

From the TensorFlow curated environment

Using AzureML-tensorflow-2.4-ubuntu18.04-py37-cpu-inference :

...

ANSWER

Answered 2022-Jan-24 at 12:45

If you want to create a custom environment you can use the below code to set the env configuration.

Creating the enviroment

myenv = Environment(name="Environment")

myenv.docker.enabled = True

myenv.python.conda_dependencies = CondaDependencies.create(conda_packages = ['numpy','scikit-learn','pip','pandas'], pip_packages = ['azureml-defaults~= 1.34.0','azureml','azureml-core~= 1.34.0',"azureml-sdk",'inference-schema','azureml-telemetry~= 1.34.0','azureml- train-automl~= 1.34.0','azure-ml-api-sdk','python-dotenv','azureml-contrib-server','azureml-inference-server-http'])

Ref doc: https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.environment(class)?view=azure-ml-py#:~:text=Upload%20the%20private%20pip%20wheel,in%20the%20workspace%20storage%20blob.&text=Build%20a%20Docker%20image%20for%20this%20environment%20in%20the%20cloud.&text=Build%20the%20local%20Docker%20or%20conda%20environment.

Source https://stackoverflow.com/questions/70833499

QUESTION

PySpark ALSModel load fails in deployment over Azure ML service with error java.util.NoSuchElementException: Param blockSize does not exist

Asked 2020-Aug-03 at 18:16

I am trying to deploy an ALS model trained using PySpark on Azure ML service. I am providing a score.py file that loads the trained model using ALSModel.load() function. Following is the code of my score.py file.

...

ANSWER

Answered 2020-Aug-03 at 18:16

A couple of things to check:

Is your model registered in the workspace? AZUREML_MODEL_DIR only works for registered models. See this link for information about registering a model
Are you specifying the same version of pyspark.ml.recommendation in your InferenceConfig as you use locally? This kind of error might be due to a difference in versions
Have you looked at the output of print(service.get_logs())? Check out our troubleshoot and debugging documentation here for other things you can try

Source https://stackoverflow.com/questions/63204081

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install IoT-Server

You can download it from GitHub, GitLab.
PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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