How can I load a data file of a model to run in pyomo , I want to run a specific model but I do not know in which directory I should save the file.dat so that it can be run by the prompt.
The easiest way to do this is to have your data file in the same directory as the .py file containing your model. Please see the Pyomo online documentation for more details (http://pyomo.readthedocs.io/en/latest/data/index.html)
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One way to save sklearn models is to use joblib.dump(model,filename). I have a confusion regarding the filename argument. One way to run this function is through :
joblib.dump(model,"model.joblib")
This saves the model successfully and also the model is loaded correctly using the:
model=joblib.load("model.joblib")
Another way is to use :
joblib.dump(model,"model")
With no ".joblib" extension this time. This also runs successfully and the model is loaded correctly using the:
model=joblib.load("model")
What confuses me is the file extension in the filename, Is there a certain file extension that I should use for saving the model? Or it is not necessary to use a file extension as I did above? If it is not necessary, then why?
There is no file extension that "must" be used to serialize a model. You can specify the compression method by using one of the supported filename extensions (.z, .gz, .bz2, .xz or .lzma). By default joblib will use zlib to serialize objects.
Therefore you can use any file extension. However it is a good practice to use the library as the extension in order to know how to load it.
I name my serialized model model.pickle when I am using pickle library and model.joblib when I am using joblib.
I'm trying to open a .exe file from Python and give it some instructions. Because I have thousands of models to run I need to automatize the process.
Here on Stackoverflow, I found several options that I tried. I am able to open .exe file but not able to fill the information in that and run the .exe. the place is always empty. I'm writing one of these solutions. [I'm using Python3]:
import os
your_bat_file_address = r'"C:\D_drive\testing\SAR\1100_star3\exmple.bat"' # example
os.startfile(your_bat_file_address)
in the exmple.bat file
"C:/D_drive/tool/EXMPLE.exe" --input1 "C:/D_drive/file/1st_file" --input2 "C:/D_drive/file/2st_file" --input3 "C:/D_drive/file/3st_file"
I am using Google Colabs for my research in machine learning.
I do many variations on a network and run them saving the results.
I have a part of my notebook that used to be separate file (network.py) At the start of a training session I used to save this file in a directory that has the results and logs etc. Now that this part of the code is in the notebook it is easier to edit etc, BUT I do not have a file to copy to the output directory that describes the model. how to i take a section of a google colab notebook and save the raw code as a python file?
Things I have tried:
%%writefile "my_file.py" - is able to write the file however the classes are not available to the runtime.
I'm trying to change the code in CIFAR10 tutorial in models repository, and I'm trying to add code in cifar10_train.py to change the input, but I don't know how to edit read_cifar10 function to read my .npy file. Can someone tell me how to change the input source to a .npy file by changing cifar10_input file?
when I try to run crfsharp, I get the following error at VS2012,
+err{"Could not find file 'C:\codeplex\POIParser\data\training\POIParser_corpus.train.tag'.":"C:\codeplex\POIParser\data\training\POIParser_corpus.train.tag"} System.Exception {System.IO.FileNotFoundException}
where can I find this file "POIParser_corpus.train.tag" ? I have downloaded both source code and main program of crfsharp and running it in VS2012.
Also I want to ask you can I use the CRFsharp to extract aspects by using training templates?
How do you run it ?
To train a CRF model, you need to prepare training corpus, template file at first and run CRFSharpConsole.exe with some parameters. CRFSharpConsole.exe will show usage, if you run it without any parameters.
Actually, I recommend you to download demo package from [DOWNLOADS] section in CRFSharp project web site(http://crfsharp.codeplex.com) at first, and then play with demo. In demo package, it will show you how to run CRFSharp in command line. For example, you can download Named entity recognized demo in English demo and run batch file to train a new model and test it.
For POIParser_corpus.train.tag you mentioned, it's the training corpus for Chinese POI inner-structure parser. You can also download it and run build_model.bat to train the model, and run test_model.bat to test it.