logo
down
shadow

Unable to get appropriate prediction using statsmodel for HoltWinters


Unable to get appropriate prediction using statsmodel for HoltWinters

By : user2172310
Date : October 24 2020, 08:10 AM
I think the issue was by ths following , The exponential smoothing model you've chosen doesn't include a trend, so it is forecasting the best level, and that gives a horizontal line forecast.
If you do:
code :
model = ExponentialSmoothing(data_train, trend='add')
# Simulate some data
np.random.seed(12346)
dta = pd.Series(np.arange(100) + np.sin(np.arange(100)) * 5 + np.random.normal(scale=4, size=100))

# Perform exponention smoothing, no trend
mod1 = sm.tsa.ExponentialSmoothing(dta)
res1 = mod1.fit()
fcast1 = res1.forecast(30)

plt.plot(dta)
plt.plot(fcast1, label='Model without trend')

# Perform exponention smoothing, with a trend
mod2 = sm.tsa.ExponentialSmoothing(dta, trend='add')
res2 = mod2.fit()
fcast2 = res2.forecast(30)

plt.plot(fcast2, label='Model with trend')
plt.legend(loc='lower right')


Share : facebook icon twitter icon
OLS using statsmodel.formula.api versus statsmodel.api

OLS using statsmodel.formula.api versus statsmodel.api


By : user3750430
Date : March 29 2020, 07:55 AM
will be helpful for those in need The difference is due to the presence of intercept or not:
in statsmodels.formula.api, similarly to the R approach, a constant is automatically added to your data and an intercept in fitted
code :
x1 = sm.add_constant(x1)
TensorFlow - Unable to get Prediction

TensorFlow - Unable to get Prediction


By : N.Dominix
Date : March 29 2020, 07:55 AM
I wish did fix the issue. I combined your train_neural_network and make_prediction function into one single function. Applying tf.nn.softmax to the model function would make the value range into from 0~1 (interpreted as probability), then tf.argmax extracts the column number with the higher probability. Note that the placeholder for y in this case needs to be one-hot-encoded. (If you are not one-hot-encoding y here, then pred_y=tf.round(tf.nn.softmax(model)) would convert the output of softmax into 0 or 1)
code :
def train_neural_network_and_make_prediction(train_X, test_X):

    model = neural_network_model(x)
    cost = tf.reduce_mean( tf.nn.softmax_cross_entropy_with_logits(model, y) )
    optimizer = tf.train.AdamOptimizer().minimize(cost)
    pred_y=tf.argmax(tf.nn.softmax(model),1)

    ephocs = 10

    with tf.Session() as sess :
        tf.initialize_all_variables().run()
        for epoch in range(ephocs):
            epoch_cost = 0

            i = 0
            while i< len(titanic_train) :
                start = i
                end = i+batch_size
                batch_x = np.array( train_x[start:end] )
                batch_y = np.array( train_y[start:end] )

                _, c = sess.run( [optimizer, cost], feed_dict={x: batch_x, y: batch_y} )
                epoch_cost += c
                i+=batch_size
            print("Epoch",epoch+1,"completed with a cost of", epoch_cost)
        # make predictions on test data
        predictions = pred_y.eval(feed_dict={x : test_X})
    return predictions
statsmodel ARMA in sample prediction

statsmodel ARMA in sample prediction


By : dharanjntu
Date : March 29 2020, 07:55 AM
wish helps you That's not really a meaningful plot or exercise.
You are accumulating one step-ahead forecasts that all start at different levels given by the history for that observation or at that time point.
Reproducing OLS prediction Python statsmodel

Reproducing OLS prediction Python statsmodel


By : Raymond de Jong
Date : March 29 2020, 07:55 AM
like below fixes the issue What I was missing was indeed quite simple and embarrassing. I switched 2 variable names around, resulting in wrong predictions manually. So, the formula was correct:
code :
y = a + B1 * X1 + B2 *X2 + .... Bn*Xn
Unable to make prediction on google automl

Unable to make prediction on google automl


By : user1678298
Date : March 29 2020, 07:55 AM
this one helps. The permission error messages are usually thrown when the application is not being authenticated correctly; Therefore, it is required to verify that the service account you are using has the required roles assigned, as well as provide the credentials to your application by using environment variables or explicitly point to your service account file in code. Keep in mind that when you set an environment variable value in a session, it is reset every time the session is dropped.
Additionally, AutoML Vision currently requires the location us-central1, as mentioned in the API Tutorial. Based on this, you should be fine on this aspect; However, you can take a look on the projects.locations REST methods in case you want to get additional information about this config.
code :
namespace Google\Cloud\Samples\Auth;

// Imports the Google Cloud Storage client library.
use Google\Cloud\Storage\StorageClient;

function auth_cloud_explicit($projectId, $serviceAccountPath)
{
    # Explicitly use service account credentials by specifying the private key
    # file.
    $config = [
        'keyFilePath' => $serviceAccountPath,
        'projectId' => $projectId,
    ];
    $storage = new StorageClient($config);

    # Make an authenticated API request (listing storage buckets)
    foreach ($storage->buckets() as $bucket) {
        printf('Bucket: %s' . PHP_EOL, $bucket->name());
    }
}
Related Posts Related Posts :
  • Integration Testing with Kitchen CI
  • Can't seem to get the from <asp:Literal </asp:Literal> property in Web forms
  • Can't access faraday params on views
  • RQM testNG integration
  • How can I enable unit templates?
  • Displaying multiple colors on a single data bar
  • Loading aggregates on reacting to domain events
  • Integrating Azure Cognitive services with Robotic Process Automation
  • Autodesk Forge Design Automation quota
  • Why can i not login to the wso2 api store using the email address of a secondary user store account
  • order not working with sortWhitelist
  • config.site for vendor libs on Fedora x86_64
  • Getting a limit response from Loopback, when no authentication is provided
  • What is the effect of FeedOptions.EnableLowPrecisionOrderBy Property
  • Recordset Null Value not being detected in null check
  • How to connect to an arbitary database using FaaS?
  • SourceTree not working after Windows 10 Fall Creators Update
  • How to get all registered user from Openfire through http
  • Error "invalid parameter" when launching a converted app
  • Using react-sortable-hoc with react-virtualized Grid
  • Xamarin.Forms: How to set values in Style only on specific platform
  • ZSH avoid adding empty commands to history?
  • Grep regular expression - Pattern issue
  • Unable to connect via Java to a DSE graph
  • Check if attachment is up to date with current document revision in couchdb
  • Can I bind an argument value ahead of time when using redux-actions?
  • How to change a member field with Kotlin reflection?
  • Replaying merged streams individually
  • DevExpress GridColumn strange proportional sizing
  • Drools Decision table error : Error while creating KieBase
  • Kafka-Flink-Stream processing: Is there a way to reload input files into the variables being used in a streaming process
  • How to export and import nifi flow from one HDP to another HDP
  • map pointWidth to a single Datapoint in Column Chart
  • Pygame animating image by transforming it
  • Why is my Gdk/cairo class causing a segfault?
  • How to organize queues in Masstransit/RabbitMQ?
  • How to remove a collection element without EntityManager#remove(...) in Doctrine 2?
  • how to change the format of the return value of 'mnist.load_data()' to 'mnist_train.csv' in Keras?
  • CodeFights Interview Practice- Dynamic Programing : Basic : fillingBlocks
  • Accessing the built request details in Karate
  • How to draw a polyline with initial point in Leaflet
  • docusign transform pdf field with text tab as required
  • How to avoid "unused variable in a for loop" error
  • Clipping a polygon to only draw within a circle in Love2D
  • Can't import library in Python
  • Silverstripe - Turn modules on or off in config
  • How does shared memory work behind the scene in Linux?
  • Vue - how to bind table column to a data object?
  • OrientDB deep traversal until specific class
  • Static code analysis of Dockerfiles?
  • Is Batmobile Defy Mini a fake device?
  • Reverse a list to a range
  • Add multiple y-axis to SAPUI5 VizFrame Column Charts
  • Nightmare with rabbitmq.client versions
  • How to change timeout for a request in okhttp
  • How to support relative date parameters in Web Intelligence Report
  • cfEngine3 - class if package is installed
  • Count number of sentences in a string in SAS
  • Visit Last Loaded URL
  • What are the use cases to substitute cookbook array attribute in chef?
  • shadow
    Privacy Policy - Terms - Contact Us © voile276.org