azure-machine-learning-studio

问题 I'm working in a .NET project where I will generate a dataset. I need to load that dataset into Azure Machine Learning Studio. Is there a way to load that dataset into ML studio programmatically (perhaps with an apikey and RequestURI ) instead of manually loading dataset in the Azure ML Studio? 回答1: It may help you: local_path = 'data/prepared.csv' dataframe.to_csv(local_path) upload the local file to a datastore on the cloud # azureml-core of version 1.0.72 or higher is required # azureml

问题 Background I have created an ML Workspace environment from a conda environment.yml plus some docker config and environment variables. I can access it from within a Python notebook: env = Environment.get(workspace=ws, name='my-environment', version='1') I can use this successfully to run a Python script as an experiment, i.e. runconfig = ScriptRunConfig(source_directory='script/', script='my-script.py', arguments=script_params) runconfig.run_config.target = compute_target runconfig.run_config

问题 Is there no way to connect to a URL from azure ml and get it's content my code: import requests def azureml_main(dataframe1 = None, dataframe2 = None): b= requests.get("http://www.google.com",timeout=30) dataframe1 = b.content return dataframe1 Is there any change need to be made to connect to URL ERROR: Error 0085: The following error occurred during script evaluation, please view the output log for more information: ---------- Start of error message from Python interpreter ---------- data

问题 I have made an Azure Machine Learning Experiment which takes a small dataset (12x3 array) and some parameters and does some calculations using a few Python modules (a linear regression calculation and some more). This all works fine. I have deployed the experiment and now want to throw data at it from the front-end of my application. The API-call goes in and comes back with correct results, but it takes up to 30 seconds to calculate a simple linear regression. Sometimes it is 20 seconds,

问题 Here's question proposed at the end of the chapter in 70-774 exam reference book. If you connect a neural network with a Tune Model Hyperparameters module configured with Random Sweep and Maximum number of runs on random sweep = 1, how many neural networks are trained during the execution of the experiment? Why? If you connect a validation dataset to the third input of the Tune Model Hyperparameters module, how many neural networks are trained now? And the answer is : Without validation

问题 I am moving data into Azure Data Lake Store and processing it using Azure Data Lake Analytics. Data is in form of XML and I am reading it through XML Extractor. Now I want to access this data from Azure ML and it looks like Azure Data Lake store is not directly supported at the moment. What are the possible ways to use Azure Data Lake Store with Azure ML? 回答1: Right now, Azure Data Lake Store is not a supported source, as you note. That said, Azure Data Lake Analytics can also be used to

问题 Similar question as here but now on Python packages. Currently, the CVXPY is missing in Azure ML. I am also trying to get other solvers such as GLPK, CLP and COINMP working in Azure ML. How can I install Python packages in Azure ML? Update about trying to install the Python packages not found in Azure ML. I did as instructed by Peter Pan but I think the 32bits CVXPY files are wrong for the Anaconda 4 and Python 3.5 in Azure ML, logs and errors are here. [Information] Running with Python 3.5.1

问题 I have created an Azure ML webservice as an example and face an unknown error when it comes to deploy a web service. The error comes without an explanation, so it's hard to trace. When running the experiment within the studio, the experiment was running without any issue. However, when deploy to webservice, the test function has failed with the same input as in the studio. I have also published a sample of the service to see if anyone can see what the issue is. https://gallery

问题 I have uploaded some CSV files in Azure ML Studio as a Zip file. Now, when I try to read these CSV files in the R Script module using the below statements, it fails with below error. The Zip file dataset it attached to the R Script module at the Script bundle port. Code Statements: feed <- read.csv("src/KMTS-MORI-NMV-5000-1213-PATH_FEEDRATE-ACTUAL.csv", header=F) feed <- read.csv("./src/KMTS-MORI-NMV-5000-1213-PATH_FEEDRATE-ACTUAL.csv", header=F) feed <- read.table("src/KMTS-MORI-NMV-5000

问题 I am building a Microsoft ChatBot using LUIS for natural language processing. I would like LUIS to improve by learning new utterences for the intents identified. For example, if my 'Greeting' intent has utterences 'Hi', 'Hello', 'Hello, how are you?', the next time it encounters 'How are you?', it may predict the intent as 'Greeting' with a low accuracy. If that utterance is learnt as part of the intent, then in future, this utterence will be predicted with better accuracy and also help us in