I have created an Azure ML experiment which will give the output as predicted probability values and some charts such as bar chart, pie chart, etc. Now I am able to see the outputs in Azure ML's output page.
How can I export my Azure ML experiment results to CSV (or any other similar format)?
You can just configure that by using the modules under Data Format Conversions. Have a look here and here. Documentation is in progress, unluckily.
Once you've trained your model, publish it as a web service. Then from published service, you can Download Excel Workbook. Through this workbook, it will run your web service with the data you input into excel. Then it will show the predicted values.
You can add a module called convert to csv in your experiment.
The Run selected module.
Right click after the module is run and click on 'Download'
Related
I built a classification model using the new AzureML Studio Designer. I am trying to export
enter code herethe scored model as CSV file using the pill Export Data. I have selected
workspaceblobstore as datastore and csv as file format. The pipeline runs fine, but the
dataset does not show up under Data. I am also unable to just right-click on the scored model
and download a csv file.*
[Pipeline][1]
[Export Data Parameters][2]
[Output][3]
[1]: https://i.stack.imgur.com/dlaec.png
[2]: https://i.stack.imgur.com/PLwRv.png
[3]: https://i.stack.imgur.com/rua29.png
When the dataset is uploaded using any of the following formats, we can see the dataset under the dataset of the designer tab.
To reproduce the problem, used a sample dataset and uploaded from the local directory in the form of CSV file. It validated perfectly under the data it is visible in designer tab
I am working for a customer in the medical business (so excuse the many redactions in the screenshots). I am pretty new here so excuse any mistakes I might make please.
We are trying to fill a SQL database table with data coming from 2 different sources (CSV files). Both are delivered on a BLOB storage where we have read access.
The first flow I build to do this with azure data factory works perfectly so I just thought to clone that flow and point it to the second source. However the CSV files from the second source are TAB delimited and UTF-16le encoded. Luckily you can set these parameters when you create a dataset:
Dataset Settings
When I verify the dataset by using the "Preview Data" option, I see a nice list with data coming from the CSV file:Output from preview data So it appears to work fine !
Now I create a new dataflow and in the source I use the newly created Data source. All settings I left at default. data flow settings
Now when I open Data Preview and click refresh I get garbage and NULL outputs instead of the nice data I received when testing the data source. output from source block in dataflow In my first dataflow i created this does produce the expected data from the csv file but somehow the data is now scrambled ?
Could someone please help me with what I am missing or doing wrong here ?
Tried to repro and here you could see if you have the Dataset settings,
Encoding as UTF-8 instead of UTF-16 then you will ne able to preview the data.
Data Preview inside the Dataflow:
And if even I try to have the UTF-16LE enabled for the encoding having such issues:
Hence, for now you could change the Encoding and use the pipeline.
In a project I am running an AWS Sagemaker Jupyter notebook instance that heavily interacts with files (gathering, converting, computing, interacting) and after every step the files are moved from folder to folder to prepare for the next interaction. I was wondering if there was any way to set some form of chart (like excel) that creates/updates a row when a file enters a folder. The charts end goal is to be used as some form of tracker, to see what stage all the different files are in.
Examples of how the desired chart should look like below
Chart Style 1
Chart Style 2
One way in which you could achieve this is by pushing the data programmatically to a central Google Spreadsheet and use the data from there to create charts.
You could use the GSpread Library in Python to push the data after certain steps in your code are run successfully. We use this extensively to push data to Google Sheets every day.
You would need to check the API rate limits enforced by Google Cloud which can be increased as per your requirements.
I am fairly new to the Alteryx.
I would like to create a process/workflow in Alteryx to import a file from a specified location but that should be controlled by the input parameters.
Kindly help me in this.
Thanks,
RTJ
You can connect an Interface Tool:File Browse via an Interface Tool:Action to change the file selected to an In/Out:Input Data:
You will then want to run the workflow using the Run As Analytic App:
In the developer tool category, you'll find the Dynamic Input tool. This works much like the standard Input Data tool, but can take records in to modify the data it collects.
https://help.alteryx.com/2018.2/DynamicInput.htm
It sounds like you have files in a standard location, but want to be able to dynamically select the ones to load.
Let's say you have a collection of sales files in the format "Sales_20190718.csv" but want to only get sales information for certain dates as specified in your workflow. You can point your Dynamic Input tool to the Sales_20190718.csv, and have it replace the "20190718" part with whatever input you gave to the tool before querying the information.
You could get a similar result by using wildcards in a basic Input Data tool by pulling data from "Sales_*", and ticking the "Output File Name as Field" box. This would load all your sales data (which could take some time) but then you could filter to the relevant files using the new FileName field.
I have a page with an interactive report. If I do a 'Control Break' and have an aggregate in place, is there a way I can export the results to Excel, exactly the way it appears on the page?
When I 'Download' the report, it appears as the third screen shot, which is not separated.
Interactive Report Results:
How I would like to export the data to Excel:
The format that is currently exported:
The download to excel is always in CSV format. The file extension is not .xlsxbut .CSV. So, i'd say no.
It's tough too. Even if you were to create a custom export to excel you'd have to extract the current query of the report (which is something that has finally been made easier in 4.2, but is possible in 4.0/1 with 3rd party packages). Then you'd also have to account for the control break(s) you applied, since those are not reflected in the IR query (even with APEX_IR).
I've dabbled with generating an xlsx file and made a blogpost/sample application on that if you'd like to see what it encompasses. Be aware that this is taking 'custom solution' to the extreme though (at least, in my opinion).
http://apex.oracle.com/pls/apex/f?p=10063
you could create the report in BI Publisher in Oracle, then through APEX, you can call the report with parameters.
Actually APEX Office Print (AOP) supports exporting for Interactive Report and Interactive Grid (and others) to Excel, exactly as you see on the screen (so including breaks, group by etc)