@stdlib/datasets-pace-boston-house-prices-cli
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
0.2.2 • Published 1 year ago
Stats Packages
@stdlib/blas-ext-base-dapxsum
Adds a constant to each double-precision floating-point strided array element and computes the sum.
@stdlib/blas-ext-base-dapxsumkbn
Adds a constant to each double-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dapxsumkbn2
Adds a constant to each double-precision floating-point strided array element and computes the sum using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dapxsumors
Adds a constant to each double-precision floating-point strided array element and computes the sum using ordinary recursive summation.
@stdlib/blas-ext-base-dapxsumpw
Adds a constant to each double-precision floating-point strided array element and computes the sum using pairwise summation.
@stdlib/blas-ext-base-dasumpw
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.
@stdlib/blas-ext-base-dcusum
Calculate the cumulative sum of double-precision floating-point strided array elements.
@stdlib/blas-ext-base-dcusumkbn
Calculate the cumulative sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dcusumkbn2
Calculate the cumulative sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dcusumors
Calculate the cumulative sum of double-precision floating-point strided array elements using ordinary recursive summation.
@stdlib/blas-ext-base-dcusumpw
Calculate the cumulative sum of double-precision floating-point strided array elements using pairwise summation.
@stdlib/ml-incr
Incremental machine learning algorithms.
@stdlib/ml-incr-binary-classification
Incrementally perform binary classification using stochastic gradient descent (SGD).
@stdlib/ml-incr-kmeans
Incrementally partition data into `k` clusters.
@stdlib/ml-incr-sgd-regression
Online regression via stochastic gradient descent (SGD).
@stdlib/random-streams-gamma
Create a readable stream for generating pseudorandom numbers drawn from a gamma distribution.
@stdlib/ml
Machine learning algorithms.
@stdlib/blas-ext-base-sasumpw
Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.
@stdlib/blas-ext-base-scusum
Calculate the cumulative sum of single-precision floating-point strided array elements.