laplace | LSTM Model to predict BTCUSD ticker values | Machine Learning library

 by   resotto Python Version: Current License: GPL-3.0

kandi X-RAY | laplace Summary

kandi X-RAY | laplace Summary

laplace is a Python library typically used in Artificial Intelligence, Machine Learning, Tensorflow, Keras, Neural Network applications. laplace has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However laplace build file is not available. You can download it from GitHub.

Laplace predicts BTCUSD ticker values.
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              laplace has a low active ecosystem.
              It has 12 star(s) with 5 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 463 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of laplace is current.

            kandi-Quality Quality

              laplace has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              laplace is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              laplace releases are not available. You will need to build from source code and install.
              laplace has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed laplace and discovered the below as its top functions. This is intended to give you an instant insight into laplace implemented functionality, and help decide if they suit your requirements.
            • Check the answer of the question
            • Embed inference
            • Get input data
            • Check the accuracy of the last accuracy
            • Write data to file
            • Calculate accuracy
            • Compute the mean loss between t and t
            • Creates a training step
            • Make a numpy array
            • Get data from csv
            • Predict falling from an array
            • Run prediction on ndarray
            • Predicts where a prediction is raised
            Get all kandi verified functions for this library.

            laplace Key Features

            No Key Features are available at this moment for laplace.

            laplace Examples and Code Snippets

            No Code Snippets are available at this moment for laplace.

            Community Discussions

            QUESTION

            C Argument number to create PGM images
            Asked 2021-May-28 at 11:18

            I have to do a task for university in C. The program creates images in PGM format.The program compiles successfully, however, I can't run the program correctly. At the beginning of the main function the if operator needs 2 argc, but every time I try to run the program I just have one argc and I get the result

            "Error: missing or bad parameters, usage a3 [imagefile]"

            The code is:

            ...

            ANSWER

            Answered 2021-May-28 at 11:18

            Your program a3.exe requires an argument which is the file name. To run it from command line, enter

            Source https://stackoverflow.com/questions/67737176

            QUESTION

            Conv2D produces weird output
            Asked 2021-May-04 at 18:22

            I'm trying to use a Laplace Filter via TensorFlow tf.nn.conv2d on my image. But the output is super weird and I don't have a clue what I did wrong.

            I load my picture via:

            ...

            ANSWER

            Answered 2021-May-04 at 18:21

            I believe the problem is casted_image = tf.cast(rs_convoluted_image, tf.uint8) truncates data outside of [0, 255] to pure black or pure white (0 and 255).

            I think you are missing a normalization step back to the [0, 255] range before casting to utint8.

            Try

            Source https://stackoverflow.com/questions/67386029

            QUESTION

            How to plot a float number in Microchip Data Visualizer
            Asked 2021-Apr-14 at 19:36

            I am having a problem between sending a float trough the UART to be plotted in a graph on the Data Visualizer of Microchip.

            I could plot int numbers without problem, but float ones are driving me crazy.

            I made a sine wave with Laplace trnasform. After that put it on the 'z' plane with the bilineal z transform, then put the equation in the main routine of a dsPIC33FJ128GP802. It is working ok. In the terminal I can see the values and if I copy/paste those values on gnumeric and make a graph, it shows me my discrete sine wave.

            The problem comes when I try to plot the float number 'yn' in the data visualizer of the MPLABX. There is something I am missing in the middle.

            I am using MPLABX v5.45, XC16 v1.61 on Debian Bullseye. The communication with the microcontroller is transparent @9600-8N1.

            Here is my main code:

            ...

            ANSWER

            Answered 2021-Apr-14 at 19:36

            Ok, here is the answer.

            A float number it is 32 bits long but you can't manage them bit by bit like int ones. So the way is to manage like a char.

            You have to make a pointer to a char, assign the address of the float to the pointer (casting the address, because char pointer isn't the same as float pointer). Then just send 4 bytes incrementing the char pointer.

            Here is the code:

            Source https://stackoverflow.com/questions/67043008

            QUESTION

            Which steps should I follow to determine the level of a glass of any liquid?
            Asked 2021-Mar-24 at 14:11

            I'm fairly new to OpenCV Java and I've been looking for methods to do what the title asks. So far, from what I understood, the first step should be to use a detecting edges filter like Sobel or Laplace.

            Coming from https://docs.opencv.org/3.4/d2/d2c/tutorial_sobel_derivatives.html, I get the following result : glass_sobel

            From now on, I don't know what to do next... What should I do to get what I want ? Thanks for your help !

            ...

            ANSWER

            Answered 2021-Mar-24 at 14:11

            Taking the vertical edge difference (sobel) is indeed the right step. But first I suggest fixing some parameters. For instance, is the position, size and shape of the glass fixed? then take an image without fluid and use that to extrapolate the glass from the result. If not, I would take the following steps: Try to increase edge visibility. In your image you do see a clear edge, but the computer might see this as 4 edges, therefore try to make sure edges close to each other are seen as one edge (dilate operation might do that). Depending on the liquid, you could alternatively extract a certain color from the image. Water is here the most unfortunate case, but something as orange juice is easily detected. With the more clear edges, I would try to get a vertical line out of the glass, and classify each edge (is it part of glass or part of liquid).

            Source https://stackoverflow.com/questions/66782602

            QUESTION

            Passing matrix element as function handle
            Asked 2021-Feb-16 at 23:23

            I have applied inverse laplace transform to a matrix and now it is a function of t. My goal is to substitute t value and get the result matrix. I intended this code to be pretty straight foward but I'm not getting it work. This is what I tried:

            ...

            ANSWER

            Answered 2021-Feb-16 at 23:23
            Replacing syms Variables in Symbolic Functions

            Using subs() to substitute the Input parameter of the anonymous function/function handle may be as way to replace all the t terms in laplaceA. Modifying the single line to be as follows should give numerical results without any t variables:

            Source https://stackoverflow.com/questions/66215140

            QUESTION

            Why VisualBasic (VB.NET) faster than C++ code in this example?
            Asked 2021-Feb-12 at 15:01

            I have been benchmarking an iterative calculation, a Lapalace equation solver for electrostatics, that uses the Jacobi method. I wrote the same algorithm in Visual Basic and C++ (and other languages too). For some reason, Visual Basic .Net came as the fastest. I don't understand why. Since C++ is compiled to bytecode, then I would expect it to be faster. I feel that my C++ is perhaps not optimised as it should. Any help understanding why C++ is not faster than VisualBasic would be appreciated. Thank you.

            In the following codes, the iteration loop lasts about 2.8 seconds with Visual basic, and VisualC++ takes 4.8 seconds

            Visual Basic Code

            ...

            ANSWER

            Answered 2021-Feb-12 at 15:01

            Ok. After digging further as to why VB.Net was faster than C++, I hypothesised that the issue could be due to the C++ compiler.

            I downloaded the Intel C++ compiler and recompiled the program. I also changed the array to 1024x1024 size and the criteria to stop the iteration to maxchange=1e-4. All developed under MS Visual Studio 2019 community.

            Benchmarking results are:

            Source https://stackoverflow.com/questions/66147027

            QUESTION

            Find 2 x values of the current y in a List(of Point)
            Asked 2021-Jan-24 at 20:17

            I have a List(of PointF). 2 nested for loops run through a rectangle that is stretched around a circle (or circle-ish (but is really is a closed path)). I want to work within this circle with GetPixel(x,y). That means, I need the respective minimum and maximum x value of the respective y. How can I work that out with this List(Of PointF)? The reason I'm requesting help here is because I get confused with these List.Find(predicates or matches)things.

            ...

            ANSWER

            Answered 2021-Jan-24 at 20:17

            I think you're better off not For-looping through the entire space. That would work but it's more effort than I think you need computationally.

            Given a point, to determine whether or not it is within your shape - as defined by a list of point - you should only need to compare the defined point's x and y co-ords with the shape list.

            Eg, Given a point x=100px and y=100px, you know that you have to check whether its x value is between the shape's x range for a the given y (100px) (or the reverse for the y value).

            This would (probably?) only work for a simple shape that does not "turn in on itself" or has a curvature that doesn't change polarity. (Not sure what the mathematical name for that is, but there is one.) An hour-glass shape, for example, would probably present greater difficulty.

            UPDATE

            Here's a simple Linq approach which determines whether a specified point is within a defined shape. Note that it excludes points on the extremity of the shape but you can include these by changing ">" to ">=", etc.

            For simplicity, I've used an octagon to approximate a circle. Also, the code assumes that ALL points within the bitmap are defined for the shape. That is, no interpolation is used.

            Source https://stackoverflow.com/questions/65863671

            QUESTION

            Solving 2-D Laplace equation for heat transfer through rectangular Plate
            Asked 2021-Jan-05 at 11:27

            While trying to conduct python code for heat transfer through a rectangular plate, its dimensions are 3 meters in X-direction and 5 meters in Y-direction. I encountered an error when I tried to draw a mesh grid the error is that Shapes of x (50, 30) and z (30, 50) do not match.

            This is the code

            ...

            ANSWER

            Answered 2021-Jan-05 at 11:27

            QUESTION

            Scipy SparseEfficiencyWarning when multiplying two matrices
            Asked 2020-Dec-08 at 19:07

            I am trying to multiply a scipy sparse matrix with a list of values. The code is working as expected but I am getting these two warnings in the inv call:

            1)SparseEfficiencyWarning: splu requires CSC matrix format warn('splu requires CSC matrix format', SparseEfficiencyWarning)

            2)SparseEfficiencyWarning: spsolve is more efficient when sparse b is in the CSC matrix format warn('spsolve is more efficient when sparse b ')

            The L_plus_I matrix is a type of .

            ...

            ANSWER

            Answered 2020-Dec-08 at 03:39

            Starting with a matrix from another question:

            Source https://stackoverflow.com/questions/65189411

            QUESTION

            R - Generate confusion matrix and ROC for model generated by multinomial_naive_bayes() function
            Asked 2020-Nov-14 at 22:22

            I have a data set with many factor/categorical/nominal columns/variables/features. I need to create a multinomial naive bayes classifier for this data. I tried using the caret library but I don't think that was doing a multinomial naive bayes, I think it was doing gaussian naive bayes, details here. I have now discovered multinomial_naive_bayes() which seems to be perfect. It seems to handle nulls in the predictor variables and a variable with only 1 value without complaining.

            The issue is, I can't figure out how to do my "post processing/analysis" of the model generated by the multinomial_naive_bayes() function. I want to get a caret style confusionMatrix on the model and also on the prediction output vs the test data to assess the classifier. I would also like to generate a ROC curve. How can I do this?

            I have included the sample/reference/example from the documentation of multinomial_naive_bayes() below, how would I update this code to get my confusionMatricies and ROC curve.

            From: R Package 'naivebayes', section: multinomial_naive_bayes pg 10

            ...

            ANSWER

            Answered 2020-Nov-14 at 22:22

            You can use the caret function confusionMatrix:

            Source https://stackoverflow.com/questions/64819019

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

            Vulnerabilities

            No vulnerabilities reported

            Install laplace

            Please install TensorFlow and scikit-learn(sklearn) in advance.
            First, let's create input data. You can change the URL of public ticker API in create_csv.py.

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            Report a bug to Bug report.Tweet me with any other feedback.
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            https://github.com/resotto/laplace.git

          • CLI

            gh repo clone resotto/laplace

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            git@github.com:resotto/laplace.git

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