tests for Brulee engines #222
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hfrick
reviewed
Sep 17, 2024
| # ------------------------------------------------------------------------------ | ||
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| is_torch_working <- function() { | ||
| res <- try(torch::torch_tensor(1), silent = TRUE) |
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This is causing a warning in R CMD check as an undeclared dependency, can we not just add torch to Suggests?
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| library(modeldata) | ||
| library(rsample) | ||
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| set.seed(392) | ||
| binary_tr <- sim_logistic(200, ~ .1 + 2 * A - 3 * B + 1 * A *B, corr = .7) | ||
| binary_rs <- vfold_cv(binary_tr) | ||
| binary_te <- sim_logistic(2, ~ .1 + 2 * A - 3 * B + 1 * A *B, corr = .7) | ||
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| ### | ||
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| set.seed(392) | ||
| three_class_tr <- | ||
| sim_multinomial( | ||
| 500, | ||
| ~ -0.5 + 0.6 * abs(A), | ||
| ~ ifelse(A > 0 & B > 0, 1.0 + 0.2 * A / B, - 2), | ||
| ~ -0.6 * A + 0.50 * B - A * B) | ||
| three_class_rs <- vfold_cv(three_class_tr) | ||
| three_class_te <- | ||
| sim_multinomial( | ||
| 2, | ||
| ~ -0.5 + 0.6 * abs(A), | ||
| ~ ifelse(A > 0 & B > 0, 1.0 + 0.2 * A / B, - 2), | ||
| ~ -0.6 * A + 0.50 * B - A * B) | ||
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| ### | ||
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| num_tr <- sim_regression(200) | ||
| num_rs <- vfold_cv(num_tr) | ||
| num_te <- sim_regression(2) |
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This runs really fast, can we move all of this into functions?
| @@ -0,0 +1,43 @@ | |||
| test_that("linear regression via brulee", { | |||
| skip_if_not_installed("torch") | |||
| skip_if_not(any(get_from_env("linear_reg")$engine == "brulee")) | |||
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Can these require a specific version of parsnip instead?
| expect_true(nrow(ols_pred) == 2) | ||
| expect_named(ols_pred, ".pred") | ||
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| # ------------------------------------------------------------------------------ |
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Can you split these into two separate tests with more specific test descriptions, please? Applies to all tests with the # ---- separation header.
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See tidymodels/parsnip#1187