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Airflow: Python-based platform to programmatically author, schedule and monitor workflows; Allura: Python-based open source implementation of a software forge; Ambari: makes Hadoop cluster provisioning, managing, and monitoring dead simple; Ant: Java-based build tool
Initialize model with a constant value: ^ () = = (,). [further explanation needed] Note that this is the initialization of the model and therefore we set a constant value for all inputs. So even if in later iterations we use optimization to find new functions, in step 0 we have to find the value, equals for all inputs, that minimizes the ...
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
It works on Linux, Windows, macOS, and is available in Python, [8] R, [9] and models built using CatBoost can be used for predictions in C++, Java, [10] C#, Rust, Core ML, ONNX, and PMML. The source code is licensed under Apache License and available on GitHub. [6] InfoWorld magazine awarded the library "The best machine learning tools" in 2017.
In a software design pattern view, lazy initialization is often used together with a factory method pattern. This combines three ideas: Using a factory method to create instances of a class (factory method pattern) Storing the instances in a map, and returning the same instance to each request for an instance with same parameters (multiton pattern)
Allow concurrent threads to create multiple flyweight instances, thus eliminating contention and allowing multiple instances per value. To enable safe sharing between clients and threads, flyweight objects can be made into immutable value objects , where two instances are considered equal if their values are equal.
More often than not, a particular algorithm can be specifically tailored to a particular problem, yielding better performance than a generic algorithm. For example, the task of sorting a huge list of items is usually done with a quicksort routine, which is one of the most efficient generic algorithms. But if some characteristic of the items is ...
This is a list of notable test automation frameworks commonly used for unit testing. Such frameworks are not limited to unit-level testing; can be used for integration and system level testing. Frameworks are grouped below.