db-pcfg | Depth-Bounded PCFG Induction | Data Manipulation library

by lifengjin Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | db-pcfg Summary

db-pcfg is a Python library typically used in Institutions, Learning, Education, Utilities, Data Manipulation, Numpy applications. db-pcfg has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This is the repo for the paper Unsupervised Grammar Induction with Depth-bounded PCFG that appears in Transcations of Association for Computational Linguistics. A large part of the code is based on another system called UHHMM so some scripts may still have older names.

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Support

db-pcfg has a low active ecosystem.

It has 11 star(s) with 0 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

db-pcfg has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of db-pcfg is current.

Quality

db-pcfg has no bugs reported.

Security

db-pcfg has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

db-pcfg does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

db-pcfg releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

kandi has reviewed db-pcfg and discovered the below as its top functions. This is intended to give you an instant insight into db-pcfg implemented functionality, and help decide if they suit your requirements.

Sample a beam
Compile the given models into a pickle file
Calculate the Jacobian of the Gaussian distribution
Calculate the sum of the counts for each segment
Calculate the delta model
Calculate expected counts for a given gamma distribution
Stop the thread
Calculate the b_j_b_j_model
Calculate the f model for a given gamma star
Submit Sentence jobs
Load the gold PCFG tree
Write the output to the output directory
Calculate the V - statistic
Calculate the entropy of a distribution
Calculate phrase stats for a phrase
Convert bracketed string to string
Run loop
Calculate expected counts for a given gammas
The main loop
Calculate the Jacobian
Sample from a tree
Calculate the f - likelihood model
Calculate the b_j_j_j_model
Calculate the F model for a given gamma star
Reads a file
Load gold PCFG trees from a file
Generate a checkpoint for each sample
Sample from a Dirichlet distribution
Calculate the gamma value for each of the segments
Calculate the delta likelihood
Read a word vector file
Plot a set of samples
Calculate the phrase stats for a phrase

Get all kandi verified functions for this library.

db-pcfg Key Features

No Key Features are available at this moment for db-pcfg.

db-pcfg Examples and Code Snippets

No Code Snippets are available at this moment for db-pcfg.

Community Discussions

Trending Discussions on Data Manipulation

R: Is there a "Un-Character" Command in R?

Creating new columns based on data in row separated by specific character in R

Multiplying and Adding Values across Rows

How to make a rank column in R

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Split large csv file into multiple files based on column(s)

Get the first non-null value from selected cells in a row

pivot_longer with column pairs

Simulating Random Draws From a "Hat"

Break Apart a String into Separate Columns R

QUESTION

R: Is there a "Un-Character" Command in R?

Asked 2022-Apr-10 at 17:37

I am working with the R programming language.

I have the following dataset:

...

ANSWER

Answered 2022-Apr-10 at 05:36

Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

Source https://stackoverflow.com/questions/71813866

QUESTION

Creating new columns based on data in row separated by specific character in R

Asked 2022-Mar-15 at 08:48

I've the following table

Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1

The code is as follows:

...

ANSWER

Answered 2022-Mar-15 at 08:48

One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.

Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.

Source https://stackoverflow.com/questions/71478316

QUESTION

Multiplying and Adding Values across Rows

Asked 2022-Mar-10 at 08:24

I have this data frame:

...

ANSWER

Answered 2022-Mar-10 at 04:12

We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.

Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.

Source https://stackoverflow.com/questions/71418533

QUESTION

How to make a rank column in R

Asked 2022-Mar-07 at 16:19

I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.

...

ANSWER

Answered 2022-Mar-07 at 14:15

Using rank and relocate:

Source https://stackoverflow.com/questions/71381995

QUESTION

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Asked 2022-Feb-24 at 20:56

I working on a Python project that has a DataFrame like this:

...

ANSWER

Answered 2022-Feb-24 at 20:48

You could use the idxmax method on axis:

Source https://stackoverflow.com/questions/71258033

QUESTION

Split large csv file into multiple files based on column(s)

Asked 2022-Feb-07 at 12:49

I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.

...

ANSWER

Answered 2021-Dec-12 at 05:22

With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.

Source https://stackoverflow.com/questions/70320648

QUESTION

Get the first non-null value from selected cells in a row

Asked 2022-Feb-04 at 09:55

Good afternoon, friends!

I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.

My df is:

...

ANSWER

Answered 2022-Feb-03 at 11:16

One option with dplyr could be:

Source https://stackoverflow.com/questions/70970158

QUESTION

pivot_longer with column pairs

Asked 2022-Feb-03 at 14:02

I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:

...

ANSWER

Answered 2022-Feb-03 at 10:59

library(tidyverse)

example %>% 
  pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
  pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>% 
  filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>% 
  mutate(pwr = parse_number(pwr)) %>% 
  arrange(pwr, es, type)

Source https://stackoverflow.com/questions/70969176

QUESTION

Simulating Random Draws From a "Hat"

Asked 2021-Dec-28 at 21:50

Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):

...

ANSWER

Answered 2021-Dec-26 at 10:11

You may define a function FUN(n) that creates a data set as shown in OP.

Source https://stackoverflow.com/questions/70483731

QUESTION

Break Apart a String into Separate Columns R

Asked 2021-Dec-17 at 20:39

I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

Here is my data:

...

ANSWER

Answered 2021-Dec-16 at 15:25

Here's one with regex. See regex101 link for the regex explanations

Source https://stackoverflow.com/questions/70381064

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install db-pcfg

There is a sample config file in the ./config/ folder. The config file has two parts, io and params. The settings are explained below. Please see the sample file for the format in which the parameters should be written. io.input_file: the path to the input ints file. io.output_dir: the folder where all the outputs will be write into. io.dict_file: the path to the input dict file. params.random_restarts: the number of random restarts the sampler will do and evaluate before doing a chain. params.num_samples: the number of iterations the sampler will run. params.startabp: the number of A/B/P categories given to the sampler, which is equivalent to K in the paper. params.init_alpha: the value for the hyperparameter for the symmetric Dirichlet prior, which is equivalent to beta in the paper. params.cpu_workers: the number of workers on CPUs. The CPU workers only do model compilation, not sampling. params.gpu_workers: the number of workers on GPUs. The GPU workers do both model compilation and sampling. params.depth: the maximum depth limit to the sampler. gpu: the flag to use GPU or not. gpu_batch_size: the size of a batch used on the GPU.
You can do make xxx.ints.txt to convert a space-delimited one-line-per-sentence file into an ints and a dict file used by the system.
start_abp and depth control the size of the compiled model. The largest value one can reasonably try is 15 and 2 respectively, which is what's used in the paper. Larger than this, you may risk running out of memory on the GPU.
cpu_workers and gpu_workers can both to set to 0, which is usually what you want in order to run on a super computer or a cluster. In this case, the master process will write out a masterConfig.txt file into the root directory of the package, and you can start arbitrary number of workers by doing python scripts/workers.py ..

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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