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jenyasd209 [6]
3 years ago
7

The number of bits per pixel is called what

Computers and Technology
1 answer:
Margaret [11]3 years ago
8 0
The depth of an image
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C

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shapes polymorphism Create a set of classes derived from an abstract class Shape, which provides a common interface, for managin
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Explanation:

demo.java Shapes 2 Shapes Polymorphism Create a set of classes derived from an abstract class Shape, which provides a common interface, for managing various 2D geometric shapes. In our model, each Java object will represent a shape somewhere in a Cartesian coordinate system. However, note that unlike in Mathematics, the positive y-axis grows down from the origin. Shapes All shapes have the following properties: color, area, perimeter, location, and bounds. Shapes are mutable, for example any shape can be moved.

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Special numeric has three digits and holds a property that it is exactly equal to summation of cubes from each digit. For exampl
Vera_Pavlovna [14]

Answer:

The following code is written in C programming language:

#include <stdio.h>     //header file

 

int main()       //main method

{

   int n, t, digit1, digit2, digit3;      // set integer variables

    // print message

   printf("Print all Special integer numbers between 100 and 999:\n");

   n = 100;      //initialize value in variable "n"    

   while (n <= 999)      //set while loop

   {

       digit1 = n - ((n / 10) * 10);

       digit2 = (n / 10) - ((n / 100) * 10);

       digit3 = (n / 100) - ((n / 1000) * 10);

       t = (digit1 * digit1 * digit1) + (digit2 * digit2 * digit2) + (digit3 * digit3 * digit3);

       if (t == n)      //set if statement

       {

           printf("\n Special integer number is: %d", t);     //print an output

       }

       n++;

   }

}

Output:

Print all Special integer numbers between 100 and 999:

Special integer number is: 153

Special integer number is: 370

Special integer number is: 371

Special integer number is: 407

Explanation:

Here, we set the header file "stdio.h".

Then, we define integer type "main()" function.

Then, we set five integer type variable "n", "t", "digit1", "digit2", "digit3".

Then, we the print message by print() method and initialize a value to variable "n" to 100.

Then, we set the while loop which starts from 100 and stops at 999 and if the condition is true than code inside the loop is execute either loop is terminated.

Then, we set the if statement and pass the condition, if the condition is true the output would be print either if the condition is false the if statement is terminated.

8 0
3 years ago
In order to consolidate your theoretical knowledge into technique and skills with practical and applicational value, you will us
Arisa [49]

Answer:

Check the explanation

Explanation:

Lasso: R example

To run Lasso Regression you can re-use the glmnet() function, but with the alpha parameter set to 1.

# Perform 10-fold cross-validation to select lambda --------------------------- lambdas_to_try <- 10^seq(-3, 5, length.out = 100) # Setting alpha = 1 implements lasso regression lasso_cv <- cv.glmnet(X, y, alpha = 1, lambda = lambdas_to_try, standardize = TRUE, nfolds = 10) # Plot cross-validation results plot(lasso_cv)

Best cross-validated lambda lambda_cv <- lasso_cv$lambda.min # Fit final model, get its sum of squared residuals and multiple R-squared model_cv <- glmnet(X, y, alpha = 1, lambda = lambda_cv, standardize = TRUE) y_hat_cv <- predict(model_cv, X) ssr_cv <- t(y - y_hat_cv) %*% (y - y_hat_cv) rsq_lasso_cv <- cor(y, y_hat_cv)^2 # See how increasing lambda shrinks the coefficients -------------------------- # Each line shows coefficients for one variables, for different lambdas. # The higher the lambda, the more the coefficients are shrinked towards zero. res <- glmnet(X, y, alpha = 1, lambda = lambdas_to_try, standardize = FALSE) plot(res, xvar = "lambda") legend("bottomright", lwd = 1, col = 1:6, legend = colnames(X), cex = .7)

Kindly check the Image below.

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3 years ago
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