azure-machine-learning-studio

问题 I am facing a issue while doing R Script in Azure MIL and error is i.e. "Error: (list) object cannot be coerced to type double" My code is dataset1 <-maml.mapInputPort(2) dataset3 <-maml.mapInputPort(1) Z <- as.numeric((dataset3),stringsAsFactors=TRUE) Y <- mdBinaryDesign(Z,4,dataset1) Y.aggregate=mdBinaryToAggregateDesign(Y) survey.design=mdDesignNames(Y.aggregate, dataset1) data.set <- as.data.frame(survey.design) maml.mapOutputPort("data.set") The issue in coming while assigning value to Z

问题 I create an forecasting experiment using R engine. My data source is pivoted, hence I need to pass row by row. The output works great with single row prediction. But when I try to populate multiple lines, it still gives single row output - for the first record only. I'm trying to loop my result as follows : # Map 1-based optional input ports to variables dataset1 <- maml.mapInputPort(1) # class: data.frame library(forecast) library(reshape) library(dplyr) library(zoo) #exclude non required

问题 When I use data factory to update Azure ML models like the document said (https://docs.microsoft.com/en-us/azure/data-factory/v1/data-factory-azure-ml-update-resource-activity), I faced one problem: The blob reference: test/model.ilearner has an invalid or missing file extension. Supported file extensions for this output type are: ".csv, .tsv, .arff".'. I have searched the problem and found this solution: https://disqus.com/home/discussion/thewindowsazureproductsite/data_factory_create

问题 I tried to create my own experiment using the module, but failed to make it work. here is the exception i got: Error 0018: Training dataset of user-item-rating triples contains invalid data. [Critical] {"InputParameters":{"DataTable":[{"Rows":14,"Columns":3,"estimatedSize":12668928,"ColumnTypes":{"System.String":1,"System.Int32":1,"System.Double":1},"IsComplete":true,"Statistics":{"0":[10,0],"1":[5422.0,5999.0,873.0,6616.0,1758.0582820478173,7.0,0.0],"2":[1.0,1.0,1.0,1.0,0.0,1.0,0.0]}},{"Rows

问题 I am doing the following steps to install R Hash_2.2.6.zip package on to Azure ML Upload the .zip file as a dataset Create a new experiment and Add "Execute R Script" to experiment Drag and drop .zip file dataset to experiment. Connect the Dataset in step3 to "Execute R Script" of step2 Run the experiment to install the package However I am getting this error: zip file src/hash_2.2.6.zip not found Just so that its very clear, I am following steps mentioned in this article: http://blogs

问题 I've searched for hours for this and can't find a single thing that answers the question. I've created and published a new Azure Machine Learning service, and have created an endpoint. I can call the service using the Postman REST CLient, but accessing it via a JavaScript webpage returns a console log saying that CORS is enabled for the service. Now, for the life of me, I can't figure out how to disable CORS for Azure Machine Learning services. Any help would be much appreciated, thanks! 回答1:

问题 I've tried to upload the xgboost python library to Azure ML, however it claim that my library is not a Win32 application. I've made sure to install the 32 bit version of the package and i'm running conda 32 bit as well. I downloaded the library from: http://www.lfd.uci.edu/~gohlke/pythonlibs/#xgboost and chose the 32 bit python 3.5 version. Python installation as below. This is the error I get returned azure ml error Here is my installation of anaconda conda installation Can anyone see where

问题 I've created some Azure Machine Learning Workspaces and associated them with "classic" storage accounts; but would like to have them associated with "not-classic" (or whatever the term is) storage accounts. Is there a way to convert the storage accounts from "classic", or to change the storage account associated with a Machine Learning Workspace? 回答1: As of today, there's no automatic way of converting a "Classic" storage account into "Azure Resource Manager (ARM)" storage account. Today, you

问题 I have created a csv file, with no header. its 1496 rows of data, on 2 columns in the form: Real; String example: 0.24; "Some very long string" I go to New - Dataset - From local file Pick my file, and No header csv format But after its done loading i get an error message i cant decrypt: Dataset upload failed. Internal Service Error. Request ID: ca378649-009b-4ee6-b2c2-87d93d4549d7 2015-06-29 18:33:14Z Any idea what is going wrong? 回答1: At this time Azure Machine Learning only accepts the

问题 AzureML's Python Script module requires to return a Pandas DataFrame. I want to return only a value and I do this: result=7 dataframe1=pd.DataFrame(numpy.zeros(1)) dataframe1[0][0]=result by which I am able to return just a single value in Azure ML's Python Script module. What is a proper way to create a pandas DataFrame with a single value? 回答1: Following code should work: import pandas as pd def azureml_main(dataframe1 = None, dataframe2 = None): result = pd.DataFrame({'mycol': [123]})