zero-one.geni.ml — zero.one/geni 0.0.9

aft-survival-regression clj

(aft-survival-regression params)

als clj

(als params)

alternating-least-squares clj

approx-nearest-neighbours clj

(approx-nearest-neighbours dataset model key-v n-nearest)

(approx-nearest-neighbours dataset model key-v n-nearest dist-col)

approx-similarity-join clj

(approx-similarity-join dataset-a dataset-b model threshold)

(approx-similarity-join dataset-a dataset-b model threshold dist-col)

association-rules clj

(association-rules model)

best-model clj

(best-model model)

binariser clj

(binariser params)

binarizer clj

binary-classification-evaluator clj

(binary-classification-evaluator params)

binary-summary clj

(binary-summary model)

bisecting-k-means clj

(bisecting-k-means params)

boundaries clj

(boundaries model)

bucketed-random-projection-lsh clj

(bucketed-random-projection-lsh params)

bucketiser clj

(bucketiser params)

bucketizer clj

category-maps clj

(category-maps model)

category-sizes clj

(category-sizes model)

chi-sq-selector clj

(chi-sq-selector params)

chi-square-test clj

(chi-square-test dataframe features-col label-col)

cluster-centers clj

(cluster-centers model)

clustering-evaluator clj

(clustering-evaluator params)

coefficient-matrix clj

(coefficient-matrix model)

coefficients clj

(coefficients model)

compute-cost clj

(compute-cost dataset model)

corr clj

(corr dataframe col-name)

correlation clj

count-vectoriser clj

(count-vectoriser params)

count-vectorizer clj

cross-validator clj

(cross-validator {:keys [estimator evaluator estimator-param-maps num-folds seed
                         parallelism]})

dct clj

decision-tree-classifier clj

(decision-tree-classifier params)

decision-tree-regressor clj

(decision-tree-regressor params)

depth clj

(depth model)

describe-topics clj

discrete-cosine-transform clj

(discrete-cosine-transform params)

distributed? clj

elementwise-product clj

(elementwise-product params)

estimated-doc-concentration clj

(estimated-doc-concentration model)

evaluate clj

(evaluate dataframe evaluator)

feature-hasher clj

(feature-hasher params)

feature-importances clj

(feature-importances model)

features-col clj

find-frequent-sequential-patterns clj

(find-frequent-sequential-patterns dataset prefix-span)

find-patterns clj

fit clj

(fit dataframe estimator)

fp-growth clj

(fp-growth params)

freq-itemsets clj

frequent-item-sets clj

(frequent-item-sets model)

frequent-pattern-growth clj

gaussian-mixture clj

(gaussian-mixture params)

gaussians-df clj

(gaussians-df model)

gbt-classifier clj

(gbt-classifier params)

gbt-regressor clj

(gbt-regressor params)

generalised-linear-regression clj

(generalised-linear-regression params)

generalized-linear-regression clj

get-features-col clj

(get-features-col model)

get-input-col clj

(get-input-col model)

get-input-cols clj

(get-input-cols model)

get-label-col clj

(get-label-col model)

get-num-trees clj

(get-num-trees model)

get-output-col clj

(get-output-col model)

get-output-cols clj

(get-output-cols model)

get-prediction-col clj

(get-prediction-col model)

get-probability-col clj

(get-probability-col model)

get-raw-prediction-col clj

(get-raw-prediction-col model)

get-size clj

(get-size model)

get-thresholds clj

(get-thresholds model)

glm clj

gmm clj

hashing-tf clj

(hashing-tf params)

idf clj

(idf params)

idf-vector clj

(idf-vector model)

imputer clj

(imputer params)

index-to-string clj

(index-to-string params)

input-col clj

input-cols clj

interaction clj

(interaction params)

intercept clj

(intercept model)

intercept-vector clj

(intercept-vector model)

is-distributed clj

(is-distributed model)

isotonic-regression clj

(isotonic-regression params)

k-means clj

(k-means params)

label-col clj

labels clj

(labels model)

latent-dirichlet-allocation clj

lda clj

(lda params)

linear-regression clj

(linear-regression params)

linear-svc clj

(linear-svc params)

load-method clj

(load-method cls)

load-method? clj

(load-method? method)

log-likelihood clj

(log-likelihood dataset model)

log-perplexity clj

(log-perplexity dataset model)

logistic-regression clj

(logistic-regression params)

max-abs clj

(max-abs model)

max-abs-scaler clj

(max-abs-scaler params)

mean clj

(mean model)

min-hash-lsh clj

(min-hash-lsh params)

min-max-scaler clj

(min-max-scaler params)

mlp-classifier clj

(mlp-classifier params)

multiclass-classification-evaluator clj

(multiclass-classification-evaluator params)

multilayer-perceptron-classifier clj

n-gram clj

(n-gram params)

naive-bayes clj

(naive-bayes params)

normaliser clj

(normaliser params)

normalizer clj

num-classes clj

(num-classes model)

num-features clj

(num-features model)

num-nodes clj

(num-nodes model)

one-hot-encoder clj

(one-hot-encoder params)

one-hot-encoder-estimator clj

one-vs-rest clj

(one-vs-rest params)

original-max clj

(original-max model)

original-min clj

(original-min model)

output-col clj

output-cols clj

param-grid clj

(param-grid grids)

params clj

(params stage)

pc clj

(pc model)

pca clj

(pca params)

pi clj

(pi model)

pipeline clj

(pipeline & stages)

polynomial-expansion clj

(polynomial-expansion params)

prediction-col clj

prefix-span clj

(prefix-span params)

principal-components clj

probability-col clj

quantile-discretiser clj

(quantile-discretiser params)

quantile-discretizer clj

random-forest-classifier clj

(random-forest-classifier params)

random-forest-regressor clj

(random-forest-regressor params)

raw-prediction-col clj

read-stage! clj

(read-stage! model-cls path)

recommend-for-all-items clj

(recommend-for-all-items model num-users)

recommend-for-all-users clj

(recommend-for-all-users model num-items)

recommend-for-item-subset clj

(recommend-for-item-subset model items-df num-users)

recommend-for-user-subset clj

(recommend-for-user-subset model users-df num-items)

recommend-items clj

(recommend-items model num-items)

(recommend-items model users-df num-items)

recommend-users clj

(recommend-users model num-users)

(recommend-users model items-df num-users)

regex-tokeniser clj

(regex-tokeniser params)

regex-tokenizer clj

regression-evaluator clj

(regression-evaluator params)

root-node clj

(root-node model)

scale clj

(scale model)

sql-transformer clj

(sql-transformer params)

stages clj

(stages model)

standard-scaler clj

(standard-scaler params)

std clj

(std model)

stop-words-remover clj

(stop-words-remover params)

string-indexer clj

(string-indexer params)

summary clj

(summary model)

supported-optimisers clj

supported-optimizers clj

(supported-optimizers model)

surrogate-df clj

(surrogate-df model)

theta clj

(theta model)

thresholds clj

tokeniser clj

(tokeniser params)

tokenizer clj

total-num-nodes clj

(total-num-nodes model)

train-validation-split clj

(train-validation-split {:keys [estimator evaluator estimator-param-maps seed
                                parallelism]})

transform clj

(transform dataframe transformer)

tree-weights clj

(tree-weights model)

trees clj

(trees model)

uid clj

(uid model)

vector-assembler clj

(vector-assembler params)

vector-indexer clj

(vector-indexer params)

vector-size-hint clj

(vector-size-hint params)

vocab-size clj

(vocab-size model)

vocabulary clj

(vocabulary model)

weights clj

(weights model)

word2vec clj

(word2vec params)

write-stage! clj

(write-stage! stage path)

(write-stage! stage path options)