deprecation-warning

I am using the following simplified configuration in an Android application project. android { compileSdkVersion 20 buildToolsVersion "20.0.0" defaultConfig { minSdkVersion 8 targetSdkVersion 20 versionCode 1 versionName "1.0.0" applicationVariants.all { variant -> def file = variant.outputFile def fileName = file.name.replace(".apk", "-" + versionName + ".apk") variant.outputFile = new File(file.parent, fileName) } } } Now that I updated the Gradle plug-in to v.0.13.0 and Gradle to v.2.1. the following warnings appear: WARNING [Project: :MyApp] variant.getOutputFile() is deprecated. Call it

I've just updated to Django v1.8, and testing my local setup before updating my project and I've had a deprecation warning that I've never seen before, nor does it make any sense to me. I may be just overlooking something or misunderstanding the documentation. /Users/neilhickman/Sites/guild/ankylosguild/apps/raiding/models.py:6: RemovedInDjango19Warning: Model class ankylosguild.apps.raiding.models.Difficulty doesn't declare an explicit app_label and either isn't in an application in INSTALLED_APPS or else was imported before its application was loaded. This will no longer be supported in

Is "shouldOverrideUrlLoading" really deprecated? If so, what can I use instead? It seems like shouldOverrideUrlLoading is deprecated targeting Android N and I need to make an app work since API 19 until the latest right now which is Android N (beta), I use some features that are new in Android N (like Data Saver), so targeting Marshmallow will not help with the issue since I need to use those new features, here is the part of the code I use: public boolean shouldOverrideUrlLoading(WebView webview, String url) { if (url.startsWith("http:") || url.startsWith("https:")) { ... } else if (url

On a fresh installation of Anaconda under Ubuntu... I am preprocessing my data in various ways prior to a classification task using Scikit-Learn. from sklearn import preprocessing scaler = preprocessing.MinMaxScaler().fit(train) train = scaler.transform(train) test = scaler.transform(test) This all works fine but if I have a new sample (temp below) that I want to classify (and thus I want to preprocess in the same way then I get temp = [1,2,3,4,5,5,6,....................,7] temp = scaler.transform(temp) Then I get a deprecation warning... DeprecationWarning: Passing 1d arrays as data is