epsilon | Modern graphing calculator operating system | Math library

by numworks C++ Version: 20.3.0 License: No License

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | epsilon Summary

epsilon is a C++ library typically used in Utilities, Math applications. epsilon has no bugs, it has no vulnerabilities and it has medium support. You can download it from GitHub.

Epsilon is a high-performance graphing calculator operating system. It includes eight apps that cover the high school mathematics curriculum. You can try Epsilon straight from your browser in the online simulator.

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Quality

Security

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Reuse

Support

epsilon has a medium active ecosystem.

It has 1534 star(s) with 425 fork(s). There are 53 watchers for this library.

It had no major release in the last 6 months.

There are 261 open issues and 734 have been closed. On average issues are closed in 392 days. There are 38 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of epsilon is 20.3.0

Quality

epsilon has 0 bugs and 0 code smells.

Security

epsilon has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

epsilon code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

epsilon 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

epsilon releases are not available. You will need to build from source code and install.

It has 9270 lines of code, 727 functions and 49 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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epsilon Key Features

No Key Features are available at this moment for epsilon.

epsilon Examples and Code Snippets

Epsilon .

python

Lines of Code : 11

License : Non-SPDX (Apache License 2.0)

Copy

def epsilon():
  """Returns the value of the fuzz factor used in numeric expressions.

  Returns:
      A float.

  Example:
  >>> tf.keras.backend.epsilon()
  1e-07
  """
  return _EPSILON

Epsilon - softmax .

python

Lines of Code : 9

License : No License

Copy

def epsilon_greedy(model, s, eps=0.1):
  # we'll use epsilon-soft to ensure all states are visited
  # what happens if you don't do this? i.e. eps=0
  p = np.random.random()
  if p < (1 - eps):
    values = model.predict_all_actions(s)
    return

Epsilon sampling .

python

Lines of Code : 9

License : No License

Copy

def epsilon_greedy(model, s, eps=0.1):
  # we'll use epsilon-soft to ensure all states are visited
  # what happens if you don't do this? i.e. eps=0
  p = np.random.random()
  if p < (1 - eps):
    values = model.predict_all_actions(s)
    return

Community Discussions

Trending Discussions on epsilon

Largest value representable by a floating-point type smaller than 1

Pythonic way for double for loop

Scikit HDBSCAN *tree* labeling (not single-slice labeling)

SVM performance not consistent with AUC score

Scala import statement incorrectly imports implicit value

Fixed background with scrollable content of the elements in front

Cannot run Carlini and Wagner Attack using foolbox on a tensorflow Model

Use recode to mutate across multiple columns using named list of named vectors

Tensorflow Keras multiple input model

Different behaviours when initializing differently

QUESTION

Largest value representable by a floating-point type smaller than 1

Asked 2022-Mar-08 at 23:51

Is there a way to obtain the greatest value representable by the floating-point type float which is smaller than 1.

I've seen the following definition:

...

ANSWER

Answered 2022-Mar-08 at 23:51

You can use the std::nextafter function, which, despite its name, can retrieve the next representable value that is arithmetically before a given starting point, by using an appropriate to argument. (Often -Infinity, 0, or +Infinity).

This works portably by definition of nextafter, regardless of what floating-point format your C++ implementation uses. (Binary vs. decimal, or width of mantissa aka significand, or anything else.)

Example: Retrieving the closest value less than 1 for the double type (on Windows, using the clang-cl compiler in Visual Studio 2019), the answer is different from the result of the 1 - ε calculation (which as discussed in comments, is incorrect for IEEE754 numbers; below any power of 2, representable numbers are twice as close together as above it):

Source https://stackoverflow.com/questions/71383519

QUESTION

Pythonic way for double for loop

Asked 2022-Mar-02 at 19:18

I have the following code:

...

ANSWER

Answered 2022-Mar-02 at 19:18

Numpy allow you to multiply 2 arrays directly.

So rather than define a 0 based array and populating it with the altered elements of the other array, you can simply create a copy of the other array and apply the multiplication directly like so:

Source https://stackoverflow.com/questions/71327868

QUESTION

Scikit HDBSCAN *tree* labeling (not single-slice labeling)

Asked 2022-Feb-23 at 04:58

BLUF: For a specific epsilon (or for HDBSCAN's 'favorite' epsilon), I can extract the mapping of my data in that epsilon's partition. But how can I see my data's full tree membership?

I've gotten a ton out of the terrific tutorial here. In scikit learn's HDBSCAN, I can use clusterer.labels to see the best epsilon's partition labels. And I can use clusterer.single_linkage_tree_.get_clusters(0.023, min_cluster_size=2) to see the an arbitrary epsilon's partition labels. I can even plot the entire dendogram using clusterer.condensed_tree_.plot(). But how do I see the dendogram's labels for individual datapoints?

For Example: It's nice that my pets' names are {Spot, Felix, Nemo, Fido, Tigger}. Or the species are {Dog, Cat, Guppy, Dog, Cat}. But I'd like one output that tells me:

Spot Dog Mammal Animal Felix Cat Mammal Animal Nemo Guppy Fish Animal Fido Dog Mammal Animal Tigger Cat Mammal Animal

With this sort of output, I could see precisely how related Spot and Felix are, instead of "Do they have the same species? Y/N?" "Do they have the same kingdom? Y/N?"

...

ANSWER

Answered 2022-Feb-23 at 04:58

The clusterer.condensed_tree_ object has a number of conversion utilities, e.g. to_pandas() and to_networkx(). For this particular use case, it looks like you want to print an ancestor list for each leaf node in the condensed tree. You can accomplish this in many ways, but a pretty straightforward one is to convert the tree to a networkx graph and use the utility methods on it to extract the structure you're looking for:

Source https://stackoverflow.com/questions/71212373

QUESTION

SVM performance not consistent with AUC score

Asked 2022-Feb-13 at 03:32

I have a dataset that contains information about patients. It includes several variables and their clinical status (0 if they are healthy, 1 if they are sick). I have tried to implement an SVM model to predict patient status based on these variables.

...

ANSWER

Answered 2022-Feb-13 at 03:32

Did you look at the probabilities versus the fitted values? You can read about how probability works with SVM here.

If you want to look at the performance you can use the library DescTools and the function Conf or with the library caret and the function confusionMatrix. (They provide the same output.)

Source https://stackoverflow.com/questions/71093276

QUESTION

Scala import statement incorrectly imports implicit value

Asked 2022-Jan-21 at 10:06

I am trying to add ~= operator to Double in Scala. The below is my attempt:

...

ANSWER

Answered 2022-Jan-21 at 10:06

Let's make an experiment in REPL:

Source https://stackoverflow.com/questions/70797148

QUESTION

Fixed background with scrollable content of the elements in front

Asked 2022-Jan-18 at 15:05

I am trying to build a responsive Website. With quite an effort (and help from the community) I managed to mount a fixed background image. But now I am encountering two issues:

With small screens, the content of the elements in front of the image is cut off at the bottom, scrolling is not possible.
The footer is overlapping the other elements.

html/ css:

...

ANSWER

Answered 2022-Jan-18 at 15:05

There were actually quite a few tweaks that I think should be made to get you what you wanted.

Firstly, the background. I would go with position: fixed; rather than position: absolute; to make sure the background is completely independent of the content.

Secondly, the footer does not need the position attribute set, rather you could make it part of the flexbox layout, setting the flex attribute on your #backgroundImage element (and removing the position attribute from backgroundImage).

Lastly, make sure the html and body tags have a full height set in the CSS so everything will scale on larger screens.

You end up with something like:

Source https://stackoverflow.com/questions/70756917

QUESTION

Cannot run Carlini and Wagner Attack using foolbox on a tensorflow Model

Asked 2022-Jan-13 at 12:24

I am using the latest version of foolbox (3.3.1), and my code simply load a RESNET-50 CNN, adds some layers for a transferred learning application, and loads the weights as follows.

...

ANSWER

Answered 2021-Nov-23 at 12:13

I think you might have mixed up the parameters of the L2CarliniWagnerAttack. Here is a simplified working example with dummy data:

Source https://stackoverflow.com/questions/70078251

QUESTION

Use recode to mutate across multiple columns using named list of named vectors

Asked 2021-Dec-19 at 17:00

I couldn't find a question similar to the one that I have here. I have a very large named list of named vectors that match column names in a dataframe. I would like to use the list of named vectors to replace values in the dataframe columns that match each list element's name. That is, the name of the vector in the list matches the name of the dataframe column and the key-value pair in each vector element will be used to recode the column.

Reprex below:

...

ANSWER

Answered 2021-Dec-13 at 04:44

One work around would be to use your map2_dfr code, but then bind the columns that are needed to the map2_dfr output. Though you still have to drop the names column.

Source https://stackoverflow.com/questions/70329687

QUESTION

Tensorflow Keras multiple input model

Asked 2021-Dec-02 at 09:05

I need to adapt this model for two text columns input (instead one column)

...

ANSWER

Answered 2021-Nov-14 at 17:09

Weirdly enough, replacing your Concatenation layer with tf.strings.join inside your model seems to work:

Source https://stackoverflow.com/questions/69963924

QUESTION

Different behaviours when initializing differently

Asked 2021-Nov-01 at 14:28

When trying to initialize a Vector using the result of some operation in Eigen, the result seems to be different depending on what syntax is used, i.e., on my machine, the assertion at the end of the following code fails:

...

ANSWER

Answered 2021-Oct-05 at 15:31

The condition number of the matrix that defines the linear system you are solving is at the order of 10⁷. Roughly speaking, this means that after solving this system numerically the last 7 digits will be incorrect. Thus, leaving you with roughly 9 correct digits or an error of around 10⁻⁹. It seems like

Source https://stackoverflow.com/questions/69450136

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

Vulnerabilities

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Install epsilon

You can download it from GitHub.

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