Questions tagged [sequential]
1) Any of various questions about a succession of elements arranged in a series, usually with numeric identifiers or numeric indexing; 2) Implementation questions about sequential neural networks.
sequential
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Complete several Tasks in a specific order
I have an WPF application that collects and prints multiple pdf files in a specific order to a online printer. The problem is that it is taking very long time, one page takes about 10sec and the full ...
- 9
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41
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How do I fix an 'AttributeError: 'Sequential' object has no attribute '_get_save_spec' in Python
This code produces error 'AttributeError: 'Sequential' object has no attribute '_get_save_spec':
import tensorflow as tf
model = tf.keras.models.load_model("../mymodel.keras")
model.compile(...
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14
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Why reshape is needed for Sequential models after minmaxscaler class? and how to use?
My recent project is based on 'Stock Prediciton" I'm working on df["Open"] as nd.array.
Trying to understand intuitively how this works and whether my predicted data will be correct or ...
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42
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PowerShell, Commands are processing out of order [duplicate]
In this code, the order of actions is clearly defined, save the xml, then "before", then sleep 3, then "after". Most of this code is not relevant but here to demonstrate the way ...
- 3,742
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Does Seq2Seq model work for spelling correction? If yes, Why i am getting it wrong?
I am using seq2seq model for predicting or correcting spellings for the product names, I do have dataset of product names with their misspelled and corrected versions(they do contain some special ...
- 21
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22
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lavaan-Decompose variance explained in sequential mediation
I am using sequential mediation analyses (aka serial mediation) in lavaan in R.
Below is my model
model <- "y ~ a*x1 + b*x2 + c*x3 + d*x4
x1 ~ b1*x2 + c2*x3 + d2*x4
x2 ~ c3*x3 + d3*x4
x2_y := ...
- 41
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1
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68
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How to make more efficient sequential analysis in R [closed]
I want to implement a battery system for a renewable plant of energy who feeds a machine. For example, The machine requires 1000 kw/h or the energy closest to that amount. If the energy generated ...
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2
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38
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How to execute 2 flows sequentially in parallel with 1 Thread Group in JMeter
We have to simulate a real scenario of my application.
We have 2 services that work at the same time in the same system and the different users can arriving at the same time, and each flows can work ...
- 19
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37
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Rxjs sequential API calls results with only one call
I do have such a code:
enum State {
SUCCESS = 'success',
ERROR = 'error'
}
const files: File[] = [...some files here];
const toBase64 = (file: File): Observable<string>; //this works ...
4
votes
2
answers
53
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Looking for break patterns in row-wise sequences of values and NA's
I'm working with a dataset where each row represents where an individual used services. This implicitly also tracks whether someone uses services, because if they did not, the column value for the ...
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53
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Optuna Hyperband Algorithm Not Following Expected Model Training Scheme
I have observed an issue while using the Hyperband algorithm in Optuna. According to the Hyperband algorithm, when min_resources = 5, max_resources = 20, and reduction_factor = 2, the search should ...
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0
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138
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ValueError: The layer sequential has never been called and thus has no defined output
from tensorflow.keras.applications import EfficientNetV2B3
base_model = EfficientNetV2B3(include_top=False, weights="imagenet", input_shape=(224, 224, 3))
print(base_model.output)
...
- 11
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1
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65
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How to split large time-related aggregates in DDD?
I am running into the following design problem, for which I haven't been able to find a satisfactory solution. Any guidance is welcome.
Consider a notion of route for a vehicle, where a route is a ...
- 953
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48
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'Sequential' object has no attribute 'fit_generator' [duplicate]
I have following code
from keras_preprocessing.sequence import TimeseriesGenerator
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
n_input = 12
...
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22
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tf.keras.Sequential predict years mismatch
I'm a little confused with the model to try to predict the next year on the list.
I can't get it to be an answer for years, is it not the right model for years?
modelsq = tf.keras.Sequential(
...
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