logspace | Based on Apache Solr | Search Engine library
kandi X-RAY | logspace Summary
kandi X-RAY | logspace Summary
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Top functions reviewed by kandi - BETA
- Saves a report
- Creates a report object
- Returns whether the given report is tip of the given report
- Validate that a report can be saved
- Performs a Solr query
- Creates a PropertyDescription object for a given property id
- Loads the description of a given global agent
- Gets the agents activities
- Get the timestamp range query
- Saves the current agent capabilities
- Gets a sorted report
- Create a time series
- Gets a report with the given ID
- Closes the agent
- Post an event stream
- Gets the capabilities of a given controller
- Stores an order in Solr
- Returns the order for the given controller
- Retrieve the order of the given controller id
- Execute an operating system
- Returns the property names of the event with the given IDs
- Create a StoredEvent instance from a Solr document
- Updates the cluster s capabilities
- Performs the commit
- Post download event
- Gets all documents for a given time series definition
logspace Key Features
logspace Examples and Code Snippets
def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0):
dtype = np_utils.result_type(start, stop, dtype)
result = linspace(
start, stop, num=num, endpoint=endpoint, dtype=dtype, axis=axis)
result = math_ops.pow(ma
Community Discussions
Trending Discussions on logspace
QUESTION
I'm trying to conduct both hyperparameter tuning and feature selection on a sklearn SVC model.
I tried the below code, but am getting an error which I have included.
...ANSWER
Answered 2021-Jun-13 at 14:19You want to perform a grid search over a Pipeline
object. When defining the parameters for the different steps of the pipeline, you have to use the __
syntax:
QUESTION
Forgive me, I'm always been very bad at math, now trying to learn some python (and some math aswell) by coding.
I have this:
...ANSWER
Answered 2021-May-17 at 14:49You can pass any linspace
to np.log
. This will give the logarithm of each point. To get the result within certain bounds, you can use a linear transformation: divide by the largest value and multiply with the desired range, perhaps add a baseline value.
For example:
QUESTION
My code right now looks like this:
...ANSWER
Answered 2021-May-14 at 23:14An idea is to use the minor y ticks, both for labels and for extra grid lines. A special formatter displays the labels as minutes, hours, days. (matplotlib 3.4 is needed to directly set the formatter, older versions need a FunctionFormatter
to set the custom formatter). Optionally, a different color and fontsize can be used for these new ticks.
To leave out the overlapping y tick label at 105, a special formatter can test for that power and set an empty label. The corresponding grid line will still be drawn as there still will be a tick position.
QUESTION
I have this function:
...ANSWER
Answered 2021-Apr-08 at 19:50Use:
QUESTION
PyCharm gives me an unsolved reference warning when I use np.linspace.
...ANSWER
Answered 2021-Apr-06 at 06:20As commented by user2235698, I was running an older version of PyCharm 2020.3 which contains a bug (should be fixed in version 2020.3.3), see https://youtrack.jetbrains.com/issue/PY-46169.
To fix it manually I changed the following lines in numpy's _init_.pyi:
QUESTION
I am fitting curve using the scipy.optimize.curve_fit. From what I notice, the curve fitting is performed by minimizing the sum of the squared residuals of f(xdata, *popt) - ydata
, whereas I want to minimize the squared residuals of relative error: (f(xdata, *popt) - ydata)/ydata
since my ydata
order of magnitude varies a lot. How to optimize using the relative deviation? I do not need to necessarily use curve_fit
function. Any python function to achieve this is fine.
PS: I am aware of another approach of converting the ydata
into logspace and fitting the resulting data. But I do not want to do this approach.
ANSWER
Answered 2021-Mar-29 at 07:14I suppose that it is related to the previous question scipy curve_fit coefficient does not align with expected value (physics relevant?)
Instead of importing ydata, import a new numerical file made of log(ydata).
And replace the function f(xdata) by a new function log(f(xdata)).
This is equvalent to change the criteria of fitting from LMSE to LMSRE.
QUESTION
I am faced with a simple problem. When I do a semi-log plot(log on x-axis) like this :
...ANSWER
Answered 2021-Mar-10 at 13:39You could use nbins = number of ticks you want
QUESTION
I am encountering a very weird situation.
I am trying to use SVM in sklearn for a binary classification task. Here is my code:
...ANSWER
Answered 2021-Feb-22 at 20:18The code below will return different class probabilities for different values of random_state
in SVC. The fact that the predicted classes are identical across different runs simply means that there is not much ambiguity about the classes the data points belong to. In other words, if your data points look like this, they are easily separable and models with different seeds will assign the same classes to the same points.
In practice, if a first model assigns for instance to a data point the probabilities {A: 0.942, B: 0.042, C: 0.016} and another model with a different seed assigns the probabilities {A: 0.917, B: 0.048, C: 0.035}, then both models will predict the same class A for this point.
QUESTION
To get a logarithmic array of 1000 until 1000000000 with 23 points I wrote this code in Python:
...ANSWER
Answered 2021-Feb-10 at 02:38np.logspace
is not doing what you think it's doing. You are expecting the effect of np.geomspace
:
QUESTION
I would like to create a 2D array called " prior_total
" from 2 1D arrays " prior_fish
" and np.arange(5)
: the first index i
in prior_total[i,j]
would correspond to the i-th element
of prior_fish
and the second one j
to the j-th
element of np.arange(5)
.
Caution : the first array contains different number of elements than the second array.
I tried to do like this :
...ANSWER
Answered 2021-Feb-08 at 01:23Use np.stack
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install logspace
You can use logspace like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the logspace component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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