evidently | Evaluate and monitor ML models from validation to production | Data Visualization library

 by   evidentlyai Python Version: 0.4.10 License: Apache-2.0

kandi X-RAY | evidently Summary

kandi X-RAY | evidently Summary

evidently is a Python library typically used in Analytics, Data Visualization, Pandas applications. evidently has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install evidently' or download it from GitHub, PyPI.

Evidently helps analyze and track data and ML model quality throughout the model lifecycle. You can think of it as an evaluation layer that fits into the existing ML stack. Evidently has a modular approach with 3 interfaces on top of the shared analyzer functionality.

            kandi-support Support

              evidently has a medium active ecosystem.
              It has 3531 star(s) with 393 fork(s). There are 36 watchers for this library.
              There were 10 major release(s) in the last 6 months.
              There are 66 open issues and 145 have been closed. On average issues are closed in 52 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of evidently is 0.4.10

            kandi-Quality Quality

              evidently has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              evidently is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              evidently releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

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            evidently Key Features

            No Key Features are available at this moment for evidently.

            evidently Examples and Code Snippets

            Pythondot img1Lines of Code : 109dot img1License : Weak Copyleft (LGPL-3.0)
            copy iconCopy
            import PySimpleGUI as sg
            def draw_points(points, connections, canvas: sg.Graph):
                for p in points:
                    canvas.draw_circle(p, 2, 'black')
                for c in connections:
                    canvas.draw_line(c[0], c[1], 'red')
            def find_closest_point(xy, poin  
            The PySimpleGUI "Family"-Android Version
            Pythondot img2Lines of Code : 7dot img2License : Weak Copyleft (LGPL-3.0)
            copy iconCopy
            import tkinter
            import tkinter
            import cv2, PySimpleGUI as sg
            USE_CAMERA = 0      # change to 1 for front facing camera
            window, cap = sg.Window('Demo Application - OpenCV Integration', [[sg.Image(filename='', key='image')], ], location=(0, 0), grab_an  
            gluon-cv - dive deep cifar10
            Pythondot img3Lines of Code : 78dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            """2. Dive Deep into Training with CIFAR10
            Hope you enjoyed playing with our demo script.
            Now, you may be wandering: how exactly was the model trained?
            In this tutorial, we will focus on answering this   
            How do I zip a list of lists into a Python Rich table with headers and rows
            Pythondot img4Lines of Code : 15dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from rich.console import Console
            from rich.table import Table
            records = test_records.get_all_values()
            table = Table(title="Test Records")
            for heading in records[0]:
            for row in records[1::1]:
            Uproot issue: Trouble making sense of a particular 'branch'
            Pythondot img5Lines of Code : 4dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pip install uproot awkward
            Encoding error whilst asynchronously scraping website
            Pythondot img6Lines of Code : 7dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            $ curl --head --silent https://www.pro-football-reference.com/years/2021/defense.htm  | grep -i charset
            content-type: text/html; charset=UTF-8
            >>> r = requests.get('https://www.pro-football-reference.com/y
            R equivalent of performing operations on an empty list in Python?
            Pythondot img7Lines of Code : 2dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            S1 <- append(S1, list(x))
            SOLVE: AttributeError: 'ImmutableDenseNDimArray' object has no attribute 'as_independent'
            Pythondot img8Lines of Code : 98dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            In [66]: z
            Out[66]: z
            In [67]: X,Y=np.meshgrid([1,2,3],[1,2])
            In [68]: X
            array([[1, 2, 3],
                   [1, 2, 3]])
            In [69]: Y
            array([[1, 1, 1],
                   [2, 2, 2]])
            In [71]: expr = X +2 * Y + z + E  ** (2*z)
            In [72]: expr
            DateTimeInput() widget putting a random T in between Date and Time, causing ValidationError
            Pythondot img9Lines of Code : 10dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            class MyIdealDateForm(forms.ModelForm):
                start = forms.DateTimeField(
                    input_formats = ['%Y-%m-%dT%H:%M'],
                    widget = forms.DateTimeInput(
                            'type': 'datetime-local',
            Truncation erros in python
            Pythondot img10Lines of Code : 96dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            Nvals = [1, 10, 100, 1000, 10000, 100000, 1000000]
            def calc_sum(N):
                total = 0
                for i in range(N):
                    total += 1 / N
                return total
            Xvals = []
            for N in Nvals:

            Community Discussions


            Connecting All Nodes Together on a Graph
            Asked 2022-Mar-30 at 20:34

            I have the following network graph:



            Answered 2022-Mar-30 at 04:35

            You could just update relations using complete, and than filter out the rows where from is equal to to, which gives arrows from a node to itself.

            Source https://stackoverflow.com/questions/71671488


            R: Connecting Points in Arbitrary Order
            Asked 2022-Mar-15 at 18:09

            I am working with the R programming language.

            I generated the following random data set in R and made a plot of these points:



            Answered 2022-Mar-15 at 17:00

            You can order your data like so:

            Source https://stackoverflow.com/questions/71485862


            Fixing Cluttered Titles on Graphs
            Asked 2022-Mar-07 at 19:08

            I made the following 25 network graphs (all of these graphs are copies for simplicity - in reality, they will all be different):



            Answered 2022-Mar-03 at 21:12

            While my solution isn't exactly what you describe under Option 2, it is close. We use combineWidgets() to create a grid with a single column and a row height where one graph covers most of the screen height. We squeeze in a link between each widget instance that scrolls the browser window down to show the following graph when clicked.

            Let me know if this is working for you. It should be possible to automatically adjust the row size according to the browser window size. Currently, this depends on the browser window height being around 1000px.

            I modified your code for the graph creation slightly and wrapped it in a function. This allows us to create 25 different-looking graphs easily. This way testing the resulting HTML file is more fun! What follows the function definition is the code to create a list of HTML objects that we then feed into combineWidgets().

            Source https://stackoverflow.com/questions/71244872


            Adding Contour Lines to 3D Plots
            Asked 2022-Mar-04 at 20:53

            I am working with the R programming language. I made the following 3 Dimensional Plot using the "plotly" library:



            Answered 2022-Mar-04 at 17:52

            You were almost there.
            The contours on z should be defined according to min-max values of z:

            Source https://stackoverflow.com/questions/71313167


            How can I create a doughnut chart with rounded edges only on one end of each segment?
            Asked 2022-Feb-28 at 08:52

            I'm trying to build a doughnut chart with rounded edges only on one side. My problem is that I have both sided rounded and not just on the one side. Also can't figure out how to do more foreground arcs not just one.



            Answered 2022-Feb-28 at 08:52

            The documentation states, that the corner radius is applied to both ends of the arc. Additionally, you want the arcs to overlap, which is also not the case.

            You can add the one-sided rounded corners the following way:

            1. Use arcs arc with no corner radius for the data.
            2. Add additional path objects corner just for the rounded corner. These need to be shifted to the end of each arc.
            3. Since corner has rounded corners on both sides, add a clipPath that clips half of this arc. The clipPath contains a path for every corner. This is essential for arcs smaller than two times the length of the rounded corners.
            4. raise all elements of corner to the front and then sort them descending by index, so that they overlap the right way.

            Source https://stackoverflow.com/questions/71258718


            Understanding "list" and "do.call" commands
            Asked 2022-Feb-25 at 10:55

            Over here (Directly Adding Titles and Labels to Visnetwork), I learned how to directly add titles to graphs made using the "visIgraph()" function:



            Answered 2022-Feb-25 at 10:55

            Please find below one possible solution.


            • Your data

            Source https://stackoverflow.com/questions/71262761


            Is it possible to not reorder elements when using d3.join?
            Asked 2022-Feb-18 at 23:13

            In d3, we may change the order of elements in a selection, for example by using raise.

            Yet, when we rebind the data and use join, this order is discarded.

            This does not happen when we use "the old way" of binding data, using enter and merge.

            See following fiddle where you can click a circle (for example the blue one) to bring it to front. When you click "redraw", the circles go back to their original z-ordering when using join, but not when using enter and merge.

            Can I achive that the circles keep their z-ordering and still use join?



            Answered 2022-Feb-18 at 23:13

            join does an implicit order after merging the enter- and update-selection, see https://github.com/d3/d3-selection/blob/91245ee124ec4dd491e498ecbdc9679d75332b49/src/selection/join.js#L14.

            The selection order after the data binding in your example is still red, blue, green even if the document order is changed. So the circles are reordered to the original order using join.

            You can get around that by changing the data binding reflecting the change in the document order. I did that here, by moving the datum of the clicked circle to the end of the data array.

            Source https://stackoverflow.com/questions/71179024


            Is there way in ggplot2 to place text on a curved path?
            Asked 2022-Feb-02 at 10:17

            Is there a way to put text along a density line, or for that matter, any path, in ggplot2? By that, I mean either once as a label, in this style of xkcd: 1835, 1950 (middle panel), 1392, or 2234 (middle panel). Alternatively, is there a way to have the line be repeating text, such as this xkcd #930 ? My apologies for all the xkcd, I'm not sure what these styles are called, and it's the only place I can think of that I've seen this before to differentiate areas in this way.

            Note: I'm not talking about the hand-drawn xkcd style, nor putting flat labels at the top

            I know I can place a straight/flat piece of text, such as via annotate or geom_text, but I'm curious about bending such text so it appears to be along the curve of the data.

            I'm also curious if there is a name for this style of text-along-line?

            Example ggplot2 graph using annotate(...):

            Above example graph modified with curved text in Inkscape:

            Edit: Here's the data for the first two trial runs in March and April, as requested:



            Answered 2021-Nov-08 at 11:31

            Great question. I have often thought about this. I don't know of any packages that allow it natively, but it's not terribly difficult to do it yourself, since geom_text accepts angle as an aesthetic mapping.

            Say we have the following plot:

            Source https://stackoverflow.com/questions/69867669


            How to add/append customized plot in for loop to Single subplot in Python using Matplotlib?
            Asked 2022-Jan-04 at 09:09

            I do realize this has already been addressed here (e.g., matplotlib loop make subplot for each category, Add a subplot within a figure using a for loop and python/matplotlib). Nevertheless, I hope this question was different.

            I have customized plot function pretty-print-confusion-matrix stackoverflow & github. Which generates below plot

            I want to add the above-customized plot in for loop to one single plot as subplots.



            Answered 2022-Jan-04 at 09:09

            Okay so I went through the library's github repository and the issue is that the figure and axes objects are created internally which means that you can't create multiple plots on the same figure. I created a somewhat hacky solution by forking the library. This is the forked library I created to do what you want. And here is a an example piece of code:

            Source https://stackoverflow.com/questions/70574478


            Constructing a hexagonal heat-map with custom colors in each cell
            Asked 2021-Dec-29 at 16:28

            I would like to generate a hexagonal lattice heat-map in which each cell represents a group. Likewise, each cell would be a hexagon with a unique color (fill, set by a column color in the data-frame) value, and a saturation (alpha) value corresponding to continuous decimal values from a chemical concentration dateset.

            I would like to use a standardized data format which would allow me to quickly construct figures based on standardized datasets containing 25 groups.

            For example, a datasheet would look like this:



            Answered 2021-Dec-22 at 01:52

            If you're open to creating the plot in Python, the following approach would work:

            Source https://stackoverflow.com/questions/70439033

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


            No vulnerabilities reported

            Install evidently

            You can install using 'pip install evidently' or download it from GitHub, PyPI.
            You can use evidently like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


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