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In color science, a color gradient (also known as a color ramp or a color progression) specifies a range of position-dependent colors, usually used to fill a region. In assigning colors to a set of values, a gradient is a continuous colormap, a type of color scheme .
English: An arrow plot of the gradient of the function (,) = (+), superimposed over a color plot of the values of that function, demonstrating that the gradient yields a vector field of a given function. The plot was generated using Numpy and Matplotlib in Python 3.11.0 using the following code:
Two types of gradients, with blue arrows to indicate the direction of the gradient. Light areas indicate higher pixel values A blue and green color gradient. An image gradient is a directional change in the intensity or color in an image. The gradient of the image is one of the fundamental building blocks in image processing.
Two-dimensional slice through 3D Perlin noise at z = 0. Perlin noise is a type of gradient noise developed by Ken Perlin in 1983. It has many uses, including but not limited to: procedurally generating terrain, applying pseudo-random changes to a variable, and assisting in the creation of image textures.
XGBoost [2] (eXtreme Gradient Boosting) is an open-source software library which provides a regularizing gradient boosting framework for C++, Java, Python, [3] R, [4] Julia, [5] Perl, [6] and Scala. It works on Linux , Microsoft Windows , [ 7 ] and macOS . [ 8 ]
It is also worth noting that the gradient pictured above represents the derivative of only one color channel (red) and was rendered with colors representing the strength and direction of the gradient. In practice, two grayscale gradient images are found per color channel, one representing the change in x and the other representing the change in ...
There are three bits for the RGB components (generating 8 primary colors at full saturation but 75% luminance - similar to the EBU colour bars) and an intensity bit that controls a variation of the base color (a 75% luminance decrease for white, creating gray; a 50% chroma saturation decrease for the RGB primary colors).
LightGBM, short for Light Gradient-Boosting Machine, is a free and open-source distributed gradient-boosting framework for machine learning, originally developed by Microsoft. [ 4 ] [ 5 ] It is based on decision tree algorithms and used for ranking , classification and other machine learning tasks.