Re-using random search for late weighted linear, added Readme

Code/MonoMutliViewClassifiers/ExecClassif.py

@@ -330,23 +330,6 @@ def initMultiviewArguments(args, benchmark, views, viewsIndices, accuracies, cla
     return argumentDictionaries
 
 
-# def analyzeLabels(labelsArrays, realLabels, classifiersNames):
-#     nbClassifiers = len(classifiersNames)
-#     nbExamples = realLabels.shape[0]
-#     nbIter = nbExamples/nbClassifiers
-#     data = np.zeros((nbExamples, nbClassifiers*nbIter))
-#     tempData = np.array([labelsArray == realLabels for labelsArray in np.transpose(labelsArrays)]).astype(int)
-#     for classifierIndex in range(nbClassifiers):
-#         for iterIndex in range(nbIter):
-#             data[:,classifierIndex*nbIter+iterIndex] = tempData[classifierIndex,:]
-#     fig, ax = plt.subplots()
-#     cax = ax.imshow(data, interpolation='nearest', cmap=cm.coolwarm)
-#     ax.set_title('Error on examples depending on the classifier')
-#     cbar = fig.colorbar(cax, ticks=[0, 1])
-#     cbar.ax.set_yticklabels(['Wrong', ' Right'])
-#     fig.savefig("Results/"+time.strftime("%Y%m%d-%H%M%S")+"error_analysis.png")
-
-
 parser = argparse.ArgumentParser(
     description='This file is used to benchmark the accuracies fo multiple classification algorithm on multiview data.',
     formatter_class=argparse.ArgumentDefaultsHelpFormatter)

Code/MonoMutliViewClassifiers/Monoview/ExecClassifMonoView.py

@@ -68,11 +68,8 @@ def ExecMonoview(X, Y, name, labelsNames, learningRate, nbFolds, nbCores, databa
         # Calculate Train/Test data
         logging.debug("Start:\t Determine Train/Test split"+" for iteration "+str(iterationStat+1))
         testIndices = ClassifMonoView.splitDataset(Y, nbClass, learningRate, datasetLength)
-        print "fromage"
         trainIndices = [i for i in range(datasetLength) if i not in testIndices]
-        print "jqmbon"
         X_train = extractSubset(X,trainIndices)
-        print "poulet"
         X_test = extractSubset(X,testIndices)
         y_train = Y[trainIndices]
         y_test = Y[testIndices]

Code/MonoMutliViewClassifiers/Multiview/Fusion/Methods/EarlyFusionPackage/WeightedLinear.py

@@ -32,7 +32,7 @@ def gridSearch(DATASET, classificationKWARGS, trainIndices, nIter=30, viewsIndic
             if accuracy > bestScore:
                 bestScore = accuracy
                 bestConfig = normalizedArray
-        return [np.array([1.0 for i in range(nbView)])]
+        return [bestConfig]
 
 
 class WeightedLinear(EarlyFusionClassifier):

Code/MonoMutliViewClassifiers/Readme.md

+# Project Title
+
+One Paragraph of project description goes here
+
+## Getting Started
+
+These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
+
+### Prerequisites
+
+What things you need to install the software and how to install them
+
+```
+Give examples
+```
+
+### Installing
+
+A step by step series of examples that tell you have to get a development env running
+
+Say what the step will be
+
+```
+Give the example
+```
+
+And repeat
+
+```
+until finished
+```
+
+End with an example of getting some data out of the system or using it for a little demo
+
+## Running the tests
+
+Explain how to run the automated tests for this system
+
+### Break down into end to end tests
+
+Explain what these tests test and why
+
+```
+Give an example
+```
+
+### And coding style tests
+
+Explain what these tests test and why
+
+```
+Give an example
+```
+
+## Deployment
+
+Add additional notes about how to deploy this on a live system
+
+## Built With
+
+* [Dropwizard](http://www.dropwizard.io/1.0.2/docs/) - The web framework used
+* [Maven](https://maven.apache.org/) - Dependency Management
+* [ROME](https://rometools.github.io/rome/) - Used to generate RSS Feeds
+
+## Contributing
+
+Please read [CONTRIBUTING.md](https://gist.github.com/PurpleBooth/b24679402957c63ec426) for details on our code of conduct, and the process for submitting pull requests to us.
+
+## Versioning
+
+We use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://github.com/your/project/tags).
+
+## Authors
+
+* **Billie Thompson** - *Initial work* - [PurpleBooth](https://github.com/PurpleBooth)
+
+See also the list of [contributors](https://github.com/your/project/contributors) who participated in this project.
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
+
+## Acknowledgments
+
+* Hat tip to anyone who's code was used
+* Inspiration
+* etc
+