Read William Shakespeare's sonnets with thefilereadfunction. Extract all the vowels from the text and convert them to lowercase.

sonnets = fileread("sonnets.txt"); vowels = lower(sonnets(regexp(sonnets,"[AEIOUaeiou]")))';

Count the number of instances of each vowel.

cnts = countlabels(vowels)

cnts=5×3 table实验室el Count Percent _____ _____ _______ a 4940 18.368 e 9028 33.569 i 4895 18.201 o 5710 21.232 u 2321 8.6302

Split the vowels into a training set containing 500 instances of each vowel, a validation set containing 300, and a testing set with the rest. All vowels are represented with equal weights in the first two sets but not in the third.

spltn = splitlabels(vowels,[500 300]);forkj = 1:length(spltn) cntsn{kj} = countlabels(vowels(spltn{kj}));endcntsn{:}

ans=5×3 table实验室el Count Percent _____ _____ _______ a 500 20 e 500 20 i 500 20 o 500 20 u 500 20

ans=5×3 table实验室el Count Percent _____ _____ _______ a 300 20 e 300 20 i 300 20 o 300 20 u 300 20

ans=5×3 table实验室el Count Percent _____ _____ _______ a 4140 18.083 e 8228 35.94 i 4095 17.887 o 4910 21.447 u 1521 6.6437

Split the vowels into a training set containing 50% of the instances, a validation set containing another 30%, and a testing set with the rest. All vowels are represented with the same weight across all three sets.

spltp = splitlabels(vowels,[0.5 0.3]);forkj = 1:length(spltp) cntsp{kj} = countlabels(vowels(spltp{kj}));endcntsp{:}

ans=5×3 table实验室el Count Percent _____ _____ _______ a 2470 18.367 e 4514 33.566 i 2448 18.203 o 2855 21.23 u 1161 8.6333

ans=5×3 table实验室el Count Percent _____ _____ _______ a 1482 18.371 e 2708 33.569 i 1468 18.198 o 1713 21.235 u 696 8.6277

ans=5×3 table实验室el Count Percent _____ _____ _______ a 988 18.368 e 1806 33.575 i 979 18.2 o 1142 21.231 u 464 8.6261

Read William Shakespeare's sonnets with thefilereadfunction. Remove all nonalphabetic characters from the text and convert to lowercase.

sonnets = fileread("sonnets.txt"); letters = lower(sonnets(regexp(sonnets,"[A-z]")))';

Classify the letters as consonants or vowels and create a table with the results. Show the first few rows of the table.

type = repmat("consonant",size(letters)); type(regexp(letters',"[aeiou]")) ="vowel"; T = table(letters,type,'VariableNames',["Letter""Type"]); head(T)

ans=8×2 tableLetter Type ______ ___________ t "consonant" h "consonant" e "vowel" s "consonant" o "vowel" n "consonant" n "consonant" e "vowel"

Display the number of instances of each category.

cnt = countlabels(T,'TableVariable',"Type")

cnt=2×3 tableType Count Percent _________ _____ _______ consonant 46516 63.365 vowel 26894 36.635

Split the table into two sets, one containing 60% of the consonants and vowels and the other containing 40%. Display the number of instances of each category.

splt = splitlabels(T,0.6,'TableVariable',"Type"); sixty = countlabels(T(splt{1},:),'TableVariable',"Type")

sixty=2×3 tableType Count Percent _________ _____ _______ consonant 27910 63.366 vowel 16136 36.634

forty = countlabels(T(splt{2},:),'TableVariable',"Type")

forty=2×3 tableType Count Percent _________ _____ _______ consonant 18606 63.363 vowel 10758 36.637

Split the table into two sets, one containing 60% of each particular letter and the other containing 40%. Exclude the lettery, which sometimes acts as a consonant and sometimes as a vowel. Display the number of instances of each category.

splt = splitlabels(T,0.6,'Exclude',"y"); sixti = countlabels(T(splt{1},:),'TableVariable',"Type")

sixti=2×3 tableType Count Percent _________ _____ _______ consonant 26719 62.346 vowel 16137 37.654

forti = countlabels(T(splt{2},:),'TableVariable',"Type")

forti=2×3 tableType Count Percent _________ _____ _______ consonant 17813 62.349 vowel 10757 37.651

Split the table into two sets of the same size. Include only the letterseands. Randomize the sets.

halves = splitlabels(T,0.5,'randomized','Include',["e""s"]); cnt = countlabels(T(halves{1},:))

cnt=2×3 tableLetter Count Percent ______ _____ _______ e 4514 64.385 s 2497 35.615

Create a dataset that consists of 100 Gaussian random numbers. Label 40 of the numbers asA, 30 asB, and 30 asC. Store the data in a combined datastore containing two datastores. The first datastore has the data and the second datastore contains the labels.

dsData = arrayDatastore(randn(100,1)); dsLabels = arrayDatastore([repmat("A",40,1); repmat("B",30,1); repmat("C",30,1)]); dsDataset = combine(dsData,dsLabels); cnt = countlabels(dsDataset,'UnderlyingDatastoreIndex',2)

cnt=3×3 table实验室el Count Percent _____ _____ _______ A 40 40 B 30 30 C 30 30

Split the data set into two sets, one containing 60% of the numbers and the other with the rest.

splitIndices = splitlabels(dsDataset,0.6,'UnderlyingDatastoreIndex',2); dsDataset1 = subset(dsDataset,splitIndices{1}); cnt1 = countlabels(dsDataset1,'UnderlyingDatastoreIndex',2)

cnt1=3×3 table实验室el Count Percent _____ _____ _______ A 24 40 B 18 30 C 18 30

dsDataset2 = subset(dsDataset,splitIndices{2}); cnt2 = countlabels(dsDataset2,'UnderlyingDatastoreIndex',2)

cnt2=3×3 table实验室el Count Percent _____ _____ _______ A 16 40 B 12 30 C 12 30