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Fix typos in provable-mlr-forecasting-aaves-lifetime-repayments.md #644

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Fix typos in provable-mlr-forecasting-aaves-lifetime-repayments.md #644

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8189e32
fix spelling provable-mlr-forecasting-aaves-lifetime-repayments.md
vipocenka Jan 31, 2025
99bc56c
fix spelling provable-mlr-forecasting-aaves-lifetime-repayments.md
vipocenka Jan 31, 2025
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34 changes: 17 additions & 17 deletions docs/academy/tutorials/provable-mlr-forecasting-aaves-lifetime-repayments.md
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Original file line number Diff line number Diff line change
Expand Up @@ -299,14 +299,14 @@ Scarb is the Cairo package manager specifically created to streamline our Cairo
To create a new Scarb project, open your terminal and run:

```sh
scarb new multiple_linear_regresion
scarb new multiple_linear_regression
```

A new project folder should be created for you and make sure to replace the content in Scarb.toml file with the following code:

```toml
[package]
name = "multiple_linear_regresion"
name = "multiple_linear_regression"
version = "0.1.0"
[dependencies]
orion = { git = "https://github.com/gizatechxyz/onnx-cairo" }
Expand Down Expand Up @@ -400,7 +400,7 @@ use orion::operators::tensor::{
FP16x16TensorDiv, FP16x16TensorMul
};
use orion::numbers::{FP16x16, FixedTrait};
use multiple_linear_regresion::helper_functions::{
use multiple_linear_regression::helper_functions::{
get_tensor_data_by_row, transpose_tensor, calculate_mean, calculate_r_score,
normalize_user_x_inputs, rescale_predictions
};
Expand Down Expand Up @@ -507,8 +507,8 @@ use orion::operators::tensor::{
FP16x16TensorDiv, FP16x16TensorMul
};
use orion::numbers::{FP16x16, FixedTrait};
use multiple_linear_regresion::data_preprocessing::{Dataset, DatasetTrait};
use multiple_linear_regresion::helper_functions::{
use multiple_linear_regression::data_preprocessing::{Dataset, DatasetTrait};
use multiple_linear_regression::helper_functions::{
get_tensor_data_by_row, transpose_tensor, calculate_mean, calculate_r_score,
normalize_user_x_inputs, rescale_predictions
};
Expand Down Expand Up @@ -562,11 +562,11 @@ impl RegressionOperation of MultipleLinearRegressionModelTrait {
}

fn MultipleLinearRegression(dataset: Dataset) -> MultipleLinearRegressionModel {
let x_values_tranposed = transpose_tensor(dataset.x_values);
let x_values_tranposed_with_bias = add_bias_term(x_values_tranposed, 0);
let decorrelated_x_features = decorrelate_x_features(x_values_tranposed_with_bias);
let x_values_transposed = transpose_tensor(dataset.x_values);
let x_values_transposed_with_bias = add_bias_term(x_values_transposed, 0);
let decorrelated_x_features = decorrelate_x_features(x_values_transposed_with_bias);
let coefficients = compute_gradients(
decorrelated_x_features, dataset.y_values, x_values_tranposed_with_bias
decorrelated_x_features, dataset.y_values, x_values_transposed_with_bias
);
return MultipleLinearRegressionModel { coefficients };
}
Expand Down Expand Up @@ -1009,15 +1009,15 @@ At this stage, we have already implemented all the important sections of this tu
use debug::PrintTrait;
use array::{ArrayTrait, SpanTrait};

use multiple_linear_regresion::datasets::aave_data::aave_x_features::aave_x_features;
use multiple_linear_regresion::datasets::aave_data::aave_y_labels::aave_y_labels;
use multiple_linear_regresion::datasets::user_inputs_data::aave_weth_revenue_data_input::{aave_weth_revenue_data_input };
use multiple_linear_regression::datasets::aave_data::aave_x_features::aave_x_features;
use multiple_linear_regression::datasets::aave_data::aave_y_labels::aave_y_labels;
use multiple_linear_regression::datasets::user_inputs_data::aave_weth_revenue_data_input::{aave_weth_revenue_data_input };

use multiple_linear_regresion::model::multiple_linear_regression_model::{
use multiple_linear_regression::model::multiple_linear_regression_model::{
MultipleLinearRegressionModel, MultipleLinearRegression, MultipleLinearRegressionModelTrait
};
use multiple_linear_regresion::data_preprocessing::{Dataset, DatasetTrait};
use multiple_linear_regresion::helper_functions::{get_tensor_data_by_row, transpose_tensor, calculate_mean ,
use multiple_linear_regression::data_preprocessing::{Dataset, DatasetTrait};
use multiple_linear_regression::helper_functions::{get_tensor_data_by_row, transpose_tensor, calculate_mean ,
calculate_r_score, normalize_user_x_inputs, rescale_predictions};

use orion::numbers::{FP16x16, FixedTrait};
Expand Down Expand Up @@ -1081,10 +1081,10 @@ Finally, we can execute the test file by running:
```shell
>> scarb cairo-test -f multiple_linear_regression_test

testing multiple_linear_regresion ...
testing multiple_linear_regression ...
running 1 tests

test multiple_linear_regresion::test::multiple_linear_regression_test ...
test multiple_linear_regression::test::multiple_linear_regression_test ...
test result: ok. 1 passed; 0 failed; 0 ignored; 0 filtered out;
```

Expand Down