MultitaskClassifier.RdParameters description can be found at https://techtonique.github.io/nnetsauce/
MultitaskClassifier(
obj,
n_hidden_features = 5L,
activation_name = "relu",
a = 0.01,
nodes_sim = "sobol",
bias = TRUE,
dropout = 0,
direct_link = TRUE,
n_clusters = 2L,
cluster_encode = TRUE,
type_clust = "kmeans",
col_sample = 1,
row_sample = 1,
seed = 123L,
backend = c("cpu", "gpu", "tpu")
)
library(datasets)
X <- as.matrix(iris[, 1:4])
y <- as.integer(iris[, 5]) - 1L
(index_train <- base::sample.int(n = nrow(X),
size = floor(0.8*nrow(X)),
replace = FALSE))
#> [1] 137 139 43 115 55 57 126 38 84 63 78 70 130 120 75 21 87 72
#> [19] 59 81 146 6 128 111 28 32 49 99 92 127 142 65 69 136 47 20
#> [37] 2 62 112 141 113 10 132 124 7 61 143 36 23 34 88 4 54 29
#> [55] 58 134 117 56 51 50 48 3 33 101 66 64 40 96 147 140 25 71
#> [73] 150 105 22 93 100 85 53 31 46 24 60 30 102 17 26 108 145 110
#> [91] 148 86 73 103 45 8 15 77 94 89 39 74 104 52 83 144 149 119
#> [109] 121 90 109 41 138 1 16 114 14 12 44 91
X_train <- X[index_train, ]
y_train <- y[index_train]
X_test <- X[-index_train, ]
y_test <- y[-index_train]
obj <- sklearn$linear_model$LinearRegression()
obj2 <- MultitaskClassifier(obj)
obj2$fit(X_train, y_train)
#> Error in py_call_impl(callable, call_args$unnamed, call_args$named): AttributeError: 'list' object has no attribute 'dtype'
#> Run `reticulate::py_last_error()` for details.
print(obj2$score(X_test, y_test))
#> Error in py_call_impl(callable, call_args$unnamed, call_args$named): AttributeError: 'MultitaskClassifier' object has no attribute 'n_classes_'
#> Run `reticulate::py_last_error()` for details.
print(obj2$predict_proba(X_test))
#> Error in py_call_impl(callable, call_args$unnamed, call_args$named): AttributeError: 'MultitaskClassifier' object has no attribute 'n_classes_'
#> Run `reticulate::py_last_error()` for details.