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Copy pathPrediction final part 2.R
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Prediction final part 2.R
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#############################################################################
library(dplyr)
quad_gram_split <- readRDS("F:/DS/Course 10 Capstone Project/quad_words.rds")
model <- list()
model$w1w2w3 <- quad_gram_split %>%
group_by(word1, word2, word3) %>%
mutate(frequencyTotal = sum(frequency)) %>%
group_by(word4, add = TRUE) %>%
mutate(prob = frequency / frequencyTotal) %>%
arrange(word1, word2, word3, word4, desc(prob)) %>%
as.data.frame()
model$w2w3 <- quad_gram_split %>%
select(word2, word3, word4, frequency) %>%
group_by(word2, word3, word4) %>%
summarise_each(funs(sum(frequency))) %>%
group_by(word2, word3) %>%
mutate(frequencyTotal = sum(frequency)) %>%
group_by(word4, add = TRUE) %>%
mutate(prob = frequency / frequencyTotal) %>%
arrange(word2, word3, word4, desc(prob)) %>%
as.data.frame()
model$w3 <- quad_gram_split %>%
select(word3, word4, frequency) %>%
group_by(word3, word4) %>%
summarise_each(funs(sum(frequency))) %>%
group_by(word3) %>%
mutate(frequencyTotal = sum(frequency)) %>%
group_by(word4, add = TRUE) %>%
mutate(prob = frequency / frequencyTotal) %>%
arrange(word3, word4, desc(prob)) %>%
as.data.frame()
model$w1w3 <- quad_gram_split %>%
select(word1, word3, word4, frequency) %>%
group_by(word1, word3, word4) %>%
summarise_each(funs(sum(frequency))) %>%
group_by(word1, word3) %>%
mutate(frequencyTotal = sum(frequency)) %>%
group_by(word4, add = TRUE) %>%
mutate(prob = frequency / frequencyTotal) %>%
arrange(word1, word3, word4, desc(prob)) %>%
as.data.frame()
model$w1w2 <- quad_gram_split %>%
select(word1, word2, word4, frequency) %>%
group_by(word1, word2, word4) %>%
summarise_each(funs(sum(frequency))) %>%
group_by(word1, word2) %>%
mutate(frequencyTotal = sum(frequency)) %>%
group_by(word4, add = TRUE) %>%
mutate(prob = frequency / frequencyTotal) %>%
arrange(word1, word2, word4, desc(prob)) %>%
as.data.frame()
model$w1 <- quad_gram_split %>%
select(word1, word4, frequency) %>%
group_by(word1, word4) %>%
summarise_each(funs(sum(frequency))) %>%
group_by(word1) %>%
mutate(frequencyTotal = sum(frequency)) %>%
group_by(word4, add = TRUE) %>%
mutate(prob = frequency / frequencyTotal) %>%
arrange(word1, word4, desc(prob)) %>%
as.data.frame()
model$w2 <- quad_gram_split %>%
select(word2, word4, frequency) %>%
group_by(word2, word4) %>%
summarise_each(funs(sum(frequency))) %>%
group_by(word2) %>%
mutate(frequencyTotal = sum(frequency)) %>%
group_by(word4, add = TRUE) %>%
mutate(prob = frequency / frequencyTotal) %>%
arrange(word2, word4, desc(prob)) %>%
as.data.frame()
model$w4 <- quad_gram_split %>%
select(word4, frequency) %>%
group_by(word4) %>%
summarise(frequency = n()) %>%
mutate(prob = frequency / sum(frequency)) %>%
arrange(word4, desc(prob)) %>%
as.data.frame()
saveRDS(object = model, "F:/DS/Course 10 Capstone Project/model.rds")