| #------------------------------------------------------------- |
| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| # |
| #------------------------------------------------------------- |
| |
| r = 4 |
| c = 3 |
| X = rand(rows=r, cols=c, sparsity=1, pdf="normal") |
| print("sum of rand normal matrix is " + sum(X)) |
| |
| Y = rand(rows=r, cols=c, sparsity=1, min=0, max=1, pdf="uniform") |
| print("avg of rand uniform matrix is " + avg(Y)) |
| |
| p = cdf(dist="normal", target=0.4, mean=0, sd=1) |
| print("normal cdf is " + p) |
| |
| p = cdf(dist="exp", target=0.7, rate=1.0) |
| print("exp cdf is " + p) |
| |
| p = cdf(dist="chisq", target=0.3, df=5) |
| print("chisq cdf is " + p) |
| |
| p = cdf(dist="f", target=2, df1=100, df2=200) |
| print("f cdf is " + p) |
| |
| p = cdf(dist="t", target=1, df=100) |
| print("t cdf is " + p) |
