Could you help me with the Big-O analysis of this algorithm? 1: Initialize directory dir ← ‘MNIST_DS’ 2: Assign image to variable path ← image_path 3: Store image in array arr ← np.array(image.open(path)) 4: Store 4 different projections in 4 different variables PN← ProjectionN 5: Set average of the vector components at each projection T_PN← np.average(PN) 6: Initialize arrays for barcodes CN← [] 7: Calculate threshold frequency for each projection 8: Concatenate the 4 threshold values for each projection x ← c1 + c2 + c3 + c4 9: Print x 10: Store all created barcodes to a file
Q: Suppose you have a file with 1320 pages and you have 101 buffer pages. Each page has 100 tuples.…
A: As per guidelines I can answer only first three sub-parts. I hope you will understand. Thank You.
Q: Does the array array1.Concat(array2).ToArray contain the same set of values (disregarding order)…
A: working of concatenation of two arrays in both way array1.concat(array2) and array2.concat(array1)…
Q: What code should i use since i need to find the candlestick Here's my code: import…
A: Given: import plotly.graph_objects as go import pandas as pd from pandas import merge from…
Q: Let x and y be two numpy arrays with x.shape = (6, 4, 3, 2) and y.shape = (3, 2). What is the shape…
A: (3,2)
Q: The output matrix of all 1s in some output files shows the presence of the digit corresponding to…
A: Given that the output matrix of all 1's in some output files a. shows the presence of the digit…
Q: Start with an empty buffer pool of size 4 pages again. This time use this access pattern:…
A: Access Pattern given here is :S A G L I K L I M U T L U B A Y R A M L A RBuffer Size = 4 pages…
Q: sing the method quickSort that sort array of objects into an ascending order. For example, 70 80 60…
A: Like merge sort, quicksort uses divide-and-conquer, and so it's a recursive algorithm. The way that…
Q: n preferred: Trying to generate a map from a .txt file for searching algorithms. dimensions are…
A: It is defined as a general-purpose programming language and is widely used nowadays for competitive…
Q: The insert, update, delete, and search functions discussed in the slides are designed such that…
A: In the event that the array contains holes, nothing will happen to the search algorithm. At the…
Q: Let's assume that we have an array with 6 members. The members are 10H,20,17H,77H,30H,77 in…
A: - We have to calculate the value of AL and AH registers. - The instructions are :- MOV AL,[BX+3]…
Q: Python: Write a script to play two dimensional Tic-Tac-Toe between two human players who alternate…
A: # function to print griddef print_grid(grid): for row in grid: for col in row:…
Q: If we have a matrix Q = [2, 4, 6; 3 6 9; 10, 20, 30] and the vector Z = [4,5, 6]. The Z vector can…
A: HI THERE I AM ADDING ANSWER BELOWPLEASE GO THROUGH IT THANK YOU
Q: Write a script that uses the following associative array. Your script should sort the array based on…
A: It is defined as a server side scripting language. that is used to develop Static websites or…
Q: T* subarray (const T* a, int i, int m) that returns a copy of the portion of a that starts at index…
A: Here I have defined the function subarray(). In this function, I have created a new array with the…
Q: In elementwise multiplication A.*B each value in one matrix is paired up with a buddy value in the…
A: for first question correct answer is dot(A[1:],B[:1])
Q: def weighted_mse_grad(w, X, y, V): """ Calculate gradient of the weight MSE loss in the given point…
A: Task : The task is to complete the weighted_mse_grad function that calculates the weighted MSE loss…
Q: A dynamic array has a capacity (the number of elements it can currently hold) and a size (the number…
A: Answer :
Q: 4. PC with images. A dataset has 1000 images of size 28 x 28, represented as python array x with…
A: Since you have not specified the dataset to use. I am taking mnist images dataset to fit the…
Q: 1. Load a npy file into ndarray, assert that the loaded array has shape (*,*, 7) 2. Crop the loaded…
A: Step1 Create an extendable EArray storage import tables import numpy as np filename = 'outarray.h5'…
Q: Given an Array A = what will be the updated array A after we run some partition (A, 1 , 5) some…
A: Lets trace the partition procedure on A = <5,4,3,2,1>partition(A,1,5)partition(a,p,r)a=…
Q: 3: Store image in array arr ← np.array(image.open(path)) 4: Store 4 different projections in 4…
A: We need to find the time complexity of the given algorithm for each step and the sum at the end.
Q: Copy the following script into an m-file called Q6.m x_in= 20* rand (1,1000); % 1000 element vector…
A: Below I have provided a MATLAB program for the given question. Also, I have attached a screenshot of…
Q: Question 2: The game of "FastestPath" consists of a path (a 1-D array) with n positive integers to…
A: #include<iostream>using namespace std; int calculate(int path[], int s, int i, int n){…
Q: Given a non-empty 2D array grid of O's and 1's, an island is a group of 1's (representing land)…
A: Given:
Q: Assume that we are using binary search algorithm to sort the following elements in the array 12, 15,…
A: Binary search: Binary search is an algorithm to search an element in an array or list of large size.…
Q: The value of p after this command: A = [1:4; 5:8; 9:12]; p = size(A); O will be 12 will be a 3-by-4…
A: Below is the answer to above query. I hope this will be helpful for you...
Q: Given the pseudocode fragment below to find the largest number in a 2D matrix, drag and drop the…
A: #Sample code in python matrix = [[1, 2, 3, -4], [25, -6, 7, 8], [9, 10, 11,…
Q: Consider a two dimensional array X[-10...5, 7..15] in which staring location is at 250. If every…
A: A[2][10] location will be at 370
Q: The insert, update, delete, and search functions discussed in the slides are designed such that…
A:
Q: Make a comparison between a linked list and a linear array. Which one will you prefer to use and…
A: As per our guidelines, we are supposed to answer only one question. Kindly repost other questions as…
Q: Xadd_to LogisticRegression def fit(self, X, Y, epochs=1000, print_loss=True): This function…
A: Answer: We have complete the function. also attached the code in next page.
Q: 1) Describe how the search algorithm changes if there are holes in the array. What is its Big O()…
A: Answer 1: If the array contains holes then nothing will happen to the search algorithm. When search…
Q: Consider an array that has n identical elements except one. Using randomized QUICKSORT, what is the…
A:
Q: def t2(X): ILII || Inputs: - X: A numpy array of shape (N, N) Returns: Numpy array of shape (N,)…
A: import numpy as np def t2(X): return np.linalg.eig(X)
Q: https://learn.zybooks.com/zybook/MAT-350-J6466-OL-TRAD-UG.22EW6/chapter/4/section/10 D21 Login -…
A: In this question we have to write a Mat Lab script for storing the changes of coordinates matrix…
Q: to implement a priority queue using array we can ? Select one: a. sort the objects according to the…
A: There are three operations associated with priority queue:- Insert () operation : inserting the…
Q: ef perceptron_single_step_update( feature_vector, label, current_theta, current_theta_0):
A: Perceptron algorithm The perceptron algorithm is defined as a machine learning algorithm that…
Q: Which of the following statement or statements are true ? Please check all that apply.…
A: An array is a data structure that contains the elements of the same type. A linked list is the…
Q: The worst-case for the sequential search algorithm is when the item is: Somewhere in the middle of…
A: Answer to the above question of worst case of linear search is stated in step2.
Q: import numpy as np import json
A: Coded using Python 3.
Q: def mat_desc(mat): sq - False mat - np. array(mat) print (mat) print('Shape:', mat.shape)…
A: Flowchart for given function code is given below:
Q: Question 2: The game of "FastestPath" consists of a path (a 1-D array) with n positive integers to…
A: public class test { public static int fastestPath(int[] arr, int pos, int sum) {sum += arr[pos]; //…
Q: Two elements with identical keys should have the same hash code. Group of answer choices True…
A: The, answers has given below:
Q: The worst-case for the sequential search algorithm is when the item is: There is no worst-case…
A: In software engineering, a linear search or sequential search is a strategy for discovering a…
Q: : function divideArray(nums) { for (var i = 0; i < nums.length; i++) { if (nums[i] % 2 === 0) {…
A: Please find the answer below :
Q: Kadd_to LogisticRegression def fit(self, x, Y, epochs-100e, print_loss=True): This function…
A: %%add_to MultivariateNetwork def fit(self, X, Y, epochs=1000, print_loss=True): losses = []…
Q: Short answer (5 points): The insert, update, delete, and search functions discussed in the slides…
A: Answer :
Q: Copy the following script into an m-file called Q6.m x_in= 20* rand (1,1000); % 1000 element vector…
A: Below I have provided a MATLAB program for the given question. Also, I have attached a screenshot of…
Q: story Bookmarks Window Help 100% A learn-us-east-1-prod-fleet01-xythos.s3.us-east-1.amazonav O s…
A: Counting sort algorithm: Find out the maximum element (let it be max) from the given array.…
Could you help me with the Big-O analysis of this
1: Initialize directory dir ← ‘MNIST_DS’
2: Assign image to variable path ← image_path
3: Store image in array arr ← np.array(image.open(path))
4: Store 4 different projections in 4 different variables PN← ProjectionN
5: Set average of the
6: Initialize arrays for barcodes CN← []
7: Calculate threshold frequency for each projection
8: Concatenate the 4 threshold values for each projection x ← c1 + c2 + c3 + c4
9: Print x
10: Store all created barcodes to a file
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
- Hypertune these parameters by using grid search: stack_rgs = StackingRegressor(estimators = [ ('ridge_regression', Ridge(random_state=42)), ('sgdregressor', SGDRegressor(random_state=42)), ('svr', SVR(kernel='rbf'))In elementwise multiplication A.*B each value in one matrix is paired up with a buddy value in the other and they are multiplied together.In matrix multiplication A*B each row in matrix A is dot-producted with each column in matrix B.The value in the upper left corner of the matrix C is the same as which of the following?C = A*B; options: A(1,1) * B(1,1) dot(A(1,:),B(:,1)) A = [3 1; 5 2];B = [1 -1; 4 0];C = A*Bthe value in the upper left corner of the matrix C is which of the following? % Starting with this code:a = [1 2 3]b = [-1 0 1]% All of the following are identical, except which one? Question 4 options: dot(a,b) a*transpose(b) b*transpose(a) sum(a.*b) They are all identical Fill in the blank to calculate the dot product of amounts and costs.amounts = [2 1 2 5 1]costs = [3.5 1.25 4.25 1.55 3.15]____________ Question 5 options:…import numpy as np import json img_codes = np.load("data/image_codes.npy") captions = json.load(open('data/captions_tokenized.json')) for img_i in range(len(captions)): for caption_i inrange(len(captions[img_i])): sentence = captions[img_i][caption_i] captions[img_i][caption_i] = ["#START#"] + sentence.split(' ') + ["#END#"] def compute_loss(network, image_vectors, captions_ix): """ :param image_vectors: torch tensor containing inception vectors. shape: [batch, cnn_feature_size] :param captions_ix: torch tensor containing captions as matrix. shape: [batch, word_i]. padded with pad_ix :returns: crossentropy (neg llh) loss for next captions_ix given previous ones. Scalar float tensor """ # captions for input - all except last because we don't know next token for last one. captions_ix_inp = captions_ix[:, :-1].contiguous() captions_ix_next = captions_ix[:, 1:].contiguous() # apply the network, get predictions for captions_ix_next logits_for_next =…
- Create a quicksort based on splitting a random sample of five items from the subarray according to their medians. Place the sample's items at the correct ends of the array so that only the median is used for partitioning. To evaluate the impact of the adjustment in contrast to the default algorithm and median-of-3 partitioning (see the preceding exercise), do doubling tests.Extra points Create a median-of-five algorithm that employs no more than seven comparisons for every given input.Given the following two methods from the List interface draw the final state of an initial empty ArrayList AS of colours add (i, e): Insert a new element e into AS to have index i; remove(i): Remove from S the element at index i; add (0, blue), add (0, pink), add (2, yellow), remove (1), add (3, red) 2.Individuals and organizations build various data structures and algorithms to solve real-life problems. Furthermore, many data analysts tend to use Big-O notation for analyzing algorithms. In your own words, explain ways by which people can specify (i). data structures and (ii) algorithms, that they build and use.Retrieving a value using its associated key can be accomplished using anindexer, which works just like an indexer for an array. A key is passed in asthe index value, and the value associated with the key is returned, unless thekey doesn’t exist, in which a null is returned.Write short code segment demonstrates how this technique works:
- import numpy as np import json img_codes = np.load("data/image_codes.npy") captions = json.load(open('data/captions_tokenized.json')) for img_i in range(len(captions)): for caption_i inrange(len(captions[img_i])): sentence = captions[img_i][caption_i] captions[img_i][caption_i] = ["#START#"] + sentence.split(' ') + ["#END#"] # Build a Vocabulary from collections import Counter word_counts = Counter() # Compute word frequencies for each word in captions. See code above for data structure # YOUR CODE HERE #Testing condition:- vocab = ['#UNK#', '#START#', '#END#', '#PAD#'] vocab += [k for k, v in word_counts.items() if v >= 5 if k not in vocab] n_tokens = len(vocab) assert 10000 <= n_tokens <= 10500 word_to_index = {w: i for i, w in enumerate(vocab)} #for reference and more detail go to ---> https://colab.research.google.com/github/hse-aml/intro-to-dl-pytorch/blob/main/week06/week06_final_project_image_captioning.ipynb#scrollTo=x_wH1bYu-QK8Two elements with identical keys should have the same hash code. Group of answer choices True False Using an unsorted array to implement a map would allow an O(log2N) get operation (where N is the number of elements in the map). Group of answer choices True False A typical hash function often consists of the following three steps: Group of answer choices hashing, compressing, and indexing. multiplication, addition, and modularization. selecting, digitizing, and combining. modularization, probing, and indexing. compressing, hashing, and probing. Clustering is a side effect of linear probing. Group of answer choices True Falseimport numpy as npimport matplotlib.pyplot as pltfrom sklearn.cluster import KMeansfrom sklearn.cluster import DBSCAN from sklearn.datasets import make_blobs n_samples = [750,750,750] cluster_std = 1 random_state = 200 X, Y_true = make_blobs(n_samples=n_samples, random_state=random_state, cluster_std=cluster_std) plt.scatter(X[:, 0], X[:, 1], marker='.', c=Y_true) #DBSCAN model, setting up required parameters eps = 0.4min_Samples = 10db = DBSCAN(eps=eps, min_samples=min_Samples).fit(X)labels = db.labels_labels # To count number of clusters in labels, ignoring noise if present.n_clusters_ = len(set(labels)) - (1 if -1 in labels else 0)n_noise_ = list(labels).count(-1) print('Estimated number of clusters: %d' % n_clusters_)print('Estimated number of noise points: %d' % n_noise_) # Plot result# Use black to label noise points.unique_labels = set(labels)colors = plt.cm.Spectral(np.linspace(0, 1, len(unique_labels))) core_samples_mask = np.zeros_like(db.labels_,…
- how to implement this function using c++ ( void dijkstra(char startVertex, char* prev, Node distances[] );//find the shortest path from the start vertex to all other vertices, by filling the prev array and the distances array ) using those functions from other classes functions struct Node{char label;int cost;}; class MinHeap{ Node* heap; //an array of nodes int _size; //size of arraypublic: Node extractMin(); //returns & removes the node with minimum cost void buildMinHeap(Node[],int);// allocates array then builds a min-heap from an array of struct Node with the given size void minHeapify(int i, int n);//restores the min-heap property for the “heap” array using the given index and size n void decreaseKey(char label,int newCost);//decreases the node that has the given label to newCost int parent(int i);//returns the index of the parent of i int getSize();//returns size of the heap bool inHeap(char);//checks if the node with the given label is in the heap} class WeightedGraph{…THIS IS MY CODE HELP ME ACHIEVE POINTS OUTLINED BELOW : #include <stdio.h>#include <stdlib.h>#include <string.h>#include <float.h>#include "graph.h"#include "dijkstra.h" #define INFINITY DBL_MAX /* find shortest paths between source node id and all other nodes in graph. *//* upon success, returns an array containing a table of shortest paths. *//* return NULL if *graph is uninitialised or an error occurs. *//* each entry of the table array should be a Path *//* structure containing the path information for the shortest path between *//* the source node and every node in the graph. If no path exists to a *//* particular desination node, then next should be set to -1 and weight *//* to DBL_MAX in the Path structure for this node */Path *dijkstra(Graph *graph, int id, int *pnEntries){ int n; int i, j; int* nv = get_vertices(graph, &n); int *S = malloc(n * sizeof(int)); double *D = malloc(n * sizeof(double)); int *R = malloc(n…Suppose a two-dimensional array of doublewords has three logical rows and four logicalcolumns. If ESI is used as the row index, what value is added to ESI to move from one rowto the next?