name and type of arguments and options. In term of development, you can still use the blueprint definition as you do in Karaf 2.x & 3.x (with the corresponding annotations). However, in Karaf 4.x, you SE 1.8 or greater (http://www.oracle.com/technetwork/java/javase/). • The JAVA_HOME environment variable must be set to the directory where the Java runtime is installed, 4.1.2. Using Apache Karaf binary download the features from Internet. Installation on Windows platform NOTE The JAVA_HOME environment variable has to be correctly defined. To accomplish that, press Windows key and Break key together, switch

1.7.x or greater (http://www.oracle.com/technetwork/java/javase/). • The JAVA_HOME environment variable must be set to the directory where the Java runtime is installed, USING APACHE KARAF BINARY DISTRIBUTIONS download the features from Internet. Installation on Windows platform NB: the JAVA_HOME environment variable has to be correctly defined. To accomplish that, press Windows key and Break key together, switch works for sure and is short to type. Installation on Unix platforms NB: the JAVA_HOME environment variable has to be correctly defined. Check the current value using echo $JAVA_HOME If it's not correct

7 4 NaN 5 11 6 13 dtype: float64 • Added a DataFrame.round method to round the values to a variable number of decimal places (GH10568). In [49]: df = pd.DataFrame(np.random.random([3, 3]), columns=['A' Regression Results ============================================================================== Dep. Variable: hr No. Observations: 68 Model: Poisson Df Residuals: 63 Method: MLE Df Model: 4 Date: Fri, 09 value input. (GH9054) • Allow timedelta string conversion when leading zero is missing from time definition, ie 0:00:00 vs 00:00:00. (GH9570) 1.3. v0.16.1 (May 11, 2015) 37 pandas: powerful Python data

prevent disclosing the secrets in the definition files that define containers/clusters, Kubernetes encodes them in Secret objects for later referral in the definition files. 1.3.4 Application Health some key points to note here: • There were three pods created for the frontend, based on the RC definition. It is a Kubernetes best practice to not create pods directly and to only create them through from service definition on the host and forwards all the traffic to intended container and port. NodePort is chosen randomly from a pre-configured range, or can be specified in the definition. The service

value_labels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1118 pandas.io.stata.StataReader.variable_labels . . . . . . . . . . . . . . . . . . . . . . . . . . . 1118 pandas.io.stata.StataWriter.write_file 09:00:03 3.0 2013-01-01 09:00:05 NaN 2013-01-01 09:00:06 NaN Using the time-specification generates variable windows for this sparse data. In [20]: dft.rolling('2s').sum() Out[20]: B foo 2013-01-01 09:00:00 append now supports the ignore_index option (GH13677) • .to_stata() and StataWriter can now write variable labels to Stata dta files using a dictionary to make column names to labels (GH13535, GH13536)

value_labels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1121 pandas.io.stata.StataReader.variable_labels . . . . . . . . . . . . . . . . . . . . . . . . . . . 1121 pandas.io.stata.StataWriter.write_file 09:00:03 3.0 2013-01-01 09:00:05 NaN 2013-01-01 09:00:06 NaN Using the time-specification generates variable windows for this sparse data. In [20]: dft.rolling('2s').sum() Out[20]: B foo 2013-01-01 09:00:00 append now supports the ignore_index option (GH13677) • .to_stata() and StataWriter can now write variable labels to Stata dta files using a dictionary to make column names to labels (GH13535, GH13536)

let's assume that we have such a general model that works for natural language inputs. Then by definition the model should be able to encode the given text in a sequence of embeddings such that there is 6-12 shows multiple examples of pacing functions. The x-axis is the training iteration i.e. the variable described above, and the y-axis is the fraction of data that is enabled from the sorted training recap, refer to the two plots in figure 6-13. Both are plots of functions in a single variable, with the variable on the x-axis and being the y-axis, and we are trying to find the minima for both. On

value_labels . . . . . . . . . . . . . . . . . . . . . . . 1258 34.1.13.5 pandas.io.stata.StataReader.variable_labels . . . . . . . . . . . . . . . . . . . . . . 1258 34.1.13.6 pandas.io.stata.StataWriter.write_file packages’ test suites. Use @pytest.mark.slow instead, which achieves the same thing (GH16850) • Moved definition of MergeError to the pandas.errors module. • The signature of Series.set_axis() and DataFrame The .groupby(..).agg(..), .rolling(..).agg(..), and .resample(..).agg(..) syntax can ac- cept a variable of inputs, including scalars, list, and a dict of column names to scalars or lists. This provides

value_labels . . . . . . . . . . . . . . . . . . . . . . . 1219 34.1.12.5 pandas.io.stata.StataReader.variable_labels . . . . . . . . . . . . . . . . . . . . . . 1219 34.1.12.6 pandas.io.stata.StataWriter.write_file The .groupby(..).agg(..), .rolling(..).agg(..), and .resample(..).agg(..) syntax can ac- cept a variable of inputs, including scalars, list, and a dict of column names to scalars or lists. This provides 09:00:03 3.0 2013-01-01 09:00:05 NaN 2013-01-01 09:00:06 NaN Using the time-specification generates variable windows for this sparse data. In [20]: dft.rolling('2s').sum() Out[20]: B foo 2013-01-01 09:00:00

subplots=True may draw unnecessary minor xticks and yticks (GH7801) • Bug in StataReader which did not read variable labels in 117 files due to difference between Stata docu- mentation and implementation (GH7816) month/quarter/year defined by the frequency of the DateTimeIndex / Timestamp (GH4565, GH6998) • Local variable usage has changed in pandas.eval()/DataFrame.eval()/DataFrame.query() (GH5987). For the DataFrame locals – Local variables must be referred to explicitly. This means that even if you have a local variable that is not a column you must still refer to it with the ’@’ prefix. – You can have an expression