SSL_CTX_set_options(3)
SSL_CTX_set_options, SSL_set_options, SSL_CTX_clear_options,
SSL_clear_options, SSL_CTX_get_options, SSL_get_options,
SSL_get_secure_renegotiation_support - manipulate SSL options
#include <openssl/ssl.h>
long SSL_CTX_set_options(SSL_CTX *ctx, long options);
long SSL_set_options(SSL *ssl, long options);
long SSL_CTX_clear_options(SSL_CTX *ctx, long options);
long SSL_clear_options(SSL *ssl, long options);
long SSL_CTX_get_options(SSL_CTX *ctx);
long SSL_get_options(SSL *ssl);
long SSL_get_secure_renegotiation_support(SSL *ssl);
Note: all these functions are implemented using macros.
SSL_CTX_set_options() adds the options set via bitmask in options to ctx. Options already set before are not cleared!
SSL_set_options() adds the options set via bitmask in options to ssl. Options already set before are not cleared!
SSL_CTX_clear_options() clears the options set via bitmask in options
to ctx.
SSL_clear_options() clears the options set via bitmask in options to ssl.
SSL_CTX_get_options() returns the options set for ctx.
SSL_get_options() returns the options set for ssl.
SSL_get_secure_renegotiation_support() indicates whether the
peer supports secure renegotiation.
The behaviour of the SSL library can be changed by setting several options.
The options are coded as bitmasks and can be combined by a bitwise or
operation (|).
SSL_CTX_set_options() and SSL_set_options()
affect the (external) protocol behaviour of the SSL library. The (internal)
behaviour of the API can be changed by using the similar
SSL_CTX_set_mode(3) and SSL_set_mode() functions.
During a handshake, the option settings of the SSL object are used. When a
new SSL object is created from a context using SSL_new(), the
current option setting is copied. Changes to ctx do not affect already created SSL objects. SSL_clear() does
not affect the settings.
The following bug workaround options are available:
- SSL_OP_MICROSOFT_SESS_ID_BUG
-
www.microsoft.com - when talking SSLv2, if session-id reuse is performed,
the session-id passed back in the server-finished message is different from
the one decided upon.
- SSL_OP_NETSCAPE_CHALLENGE_BUG
-
Netscape-Commerce/1.12, when talking SSLv2, accepts a 32 byte challenge but
then appears to only use 16 bytes when generating the encryption keys.
Using 16 bytes is ok but it should be ok to use 32. According to the SSLv3
spec, one should use 32 bytes for the challenge when operating in SSLv2/v3
compatibility mode, but as mentioned above, this breaks this server so 16
bytes is the way to go.
- SSL_OP_NETSCAPE_REUSE_CIPHER_CHANGE_BUG
-
As of OpenSSL 0.9.8q and 1.0.0c, this option has no effect.
- SSL_OP_SSLREF2_REUSE_CERT_TYPE_BUG
-
...
- SSL_OP_MICROSOFT_BIG_SSLV3_BUFFER
-
...
- SSL_OP_SAFARI_ECDHE_ECDSA_BUG
-
Don't prefer ECDHE-ECDSA ciphers when the client appears to be Safari on OS
X. OS X 10.8..10.8.3 has broken support for ECDHE-ECDSA ciphers.
- SSL_OP_SSLEAY_080_CLIENT_DH_BUG
-
...
- SSL_OP_TLS_D5_BUG
-
...
- SSL_OP_TLS_BLOCK_PADDING_BUG
-
...
- SSL_OP_DONT_INSERT_EMPTY_FRAGMENTS
-
Disables a countermeasure against a SSL 3.0/TLS 1.0 protocol vulnerability
affecting CBC ciphers, which cannot be handled by some broken SSL
implementations. This option has no effect for connections using other
ciphers.
- SSL_OP_TLSEXT_PADDING
-
Adds a padding extension to ensure the ClientHello size is never between
256 and 511 bytes in length. This is needed as a workaround for some
implementations.
- SSL_OP_ALL
-
All of the above bug workarounds.
It is usually safe to use SSL_OP_ALL to enable the bug workaround options if compatibility with somewhat broken
implementations is desired.
The following modifying options are available:
- SSL_OP_TLS_ROLLBACK_BUG
-
Disable version rollback attack detection.
During the client key exchange, the client must send the same information
about acceptable SSL/TLS protocol levels as during the first hello. Some
clients violate this rule by adapting to the server's answer. (Example: the
client sends a SSLv2 hello and accepts up to SSLv3.1=TLSv1, the server only
understands up to SSLv3. In this case the client must still use the same
SSLv3.1=TLSv1 announcement. Some clients step down to SSLv3 with respect to
the server's answer and violate the version rollback protection.)
- SSL_OP_SINGLE_DH_USE
-
Always create a new key when using temporary/ephemeral DH parameters (see SSL_CTX_set_tmp_dh_callback(3)). This option must be used to prevent small subgroup attacks, when the DH
parameters were not generated using ``strong'' primes (e.g. when using
DSA-parameters, see dhparam(1)). If ``strong'' primes were used, it is not strictly necessary to generate
a new DH key during each handshake but it is also recommended.
SSL_OP_SINGLE_DH_USE should therefore be enabled whenever temporary/ephemeral DH parameters are
used.
- SSL_OP_EPHEMERAL_RSA
-
Always use ephemeral (temporary) RSA key when doing RSA operations (see SSL_CTX_set_tmp_rsa_callback(3)). According to the specifications this is only done, when a RSA key can
only be used for signature operations (namely under export ciphers with
restricted RSA keylength). By setting this option, ephemeral RSA keys are
always used. This option breaks compatibility with the SSL/TLS
specifications and may lead to interoperability problems with clients and
should therefore never be used. Ciphers with DHE (ephemeral Diffie-Hellman)
key exchange should be used instead.
- SSL_OP_CIPHER_SERVER_PREFERENCE
-
When choosing a cipher, use the server's preferences instead of the client
preferences. When not set, the SSL server will always follow the clients
preferences. When set, the SSLv3/TLSv1 server will choose following its own
preferences. Because of the different protocol, for SSLv2 the server will
send its list of preferences to the client and the client chooses.
- SSL_OP_PKCS1_CHECK_1
-
...
- SSL_OP_PKCS1_CHECK_2
-
...
- SSL_OP_NETSCAPE_CA_DN_BUG
-
If we accept a netscape connection, demand a client cert, have a
non-self-signed CA which does not have its CA in netscape, and the browser
has a cert, it will crash/hang. Works for 3.x and 4.xbeta
- SSL_OP_NETSCAPE_DEMO_CIPHER_CHANGE_BUG
-
...
- SSL_OP_NO_SSLv2
-
Do not use the SSLv2 protocol.
- SSL_OP_NO_SSLv3
-
Do not use the SSLv3 protocol.
- SSL_OP_NO_TLSv1
-
Do not use the TLSv1 protocol.
- SSL_OP_NO_SESSION_RESUMPTION_ON_RENEGOTIATION
-
When performing renegotiation as a server, always start a new session
(i.e., session resumption requests are only accepted in the initial
handshake). This option is not needed for clients.
- SSL_OP_NO_TICKET
-
Normally clients and servers will, where possible, transparently make use
of RFC4507bis tickets for stateless session resumption.
If this option is set this functionality is disabled and tickets will not
be used by clients or servers.
- SSL_OP_ALLOW_UNSAFE_LEGACY_RENEGOTIATION
-
Allow legacy insecure renegotiation between OpenSSL and unpatched clients
or servers. See the SECURE RENEGOTIATION section for more details.
- SSL_OP_LEGACY_SERVER_CONNECT
-
Allow legacy insecure renegotiation between OpenSSL and unpatched servers
only: this option is currently set by default. See the
SECURE RENEGOTIATION section for more details.
OpenSSL 0.9.8m and later always attempts to use secure renegotiation as
described in RFC5746. This counters the prefix attack described in
CVE-2009-3555 and elsewhere.
The deprecated and highly broken SSLv2 protocol does not support
renegotiation at all: its use is strongly discouraged.
This attack has far reaching consequences which application writers should
be aware of. In the description below an implementation supporting secure
renegotiation is referred to as patched. A server not supporting secure renegotiation is referred to as unpatched.
The following sections describe the operations permitted by OpenSSL's
secure renegotiation implementation.
Connections and renegotiation are always permitted by OpenSSL
implementations.
The initial connection succeeds but client renegotiation is denied by the
server with a no_renegotiation warning alert if TLS v1.0 is used or a fatal
handshake_failure alert in SSL v3.0.
If the patched OpenSSL server attempts to renegotiate a fatal
handshake_failure alert is sent. This is because the server code may be unaware of the
unpatched nature of the client.
If the option SSL_OP_ALLOW_UNSAFE_LEGACY_RENEGOTIATION is set then renegotiation always succeeds.
NB: a bug in OpenSSL clients earlier than 0.9.8m (all of which are unpatched)
will result in the connection hanging if it receives a
no_renegotiation alert. OpenSSL versions 0.9.8m and later will regard a no_renegotiation alert as fatal and respond with a fatal
handshake_failure alert. This is because the OpenSSL API currently has no provision to
indicate to an application that a renegotiation attempt was refused.
If the option SSL_OP_LEGACY_SERVER_CONNECT or
SSL_OP_ALLOW_UNSAFE_LEGACY_RENEGOTIATION is set then initial connections and renegotiation between patched OpenSSL
clients and unpatched servers succeeds. If neither option is set then
initial connections to unpatched servers will fail.
The option SSL_OP_LEGACY_SERVER_CONNECT is currently set by default even though it has security implications:
otherwise it would be impossible to connect to unpatched servers (i.e. all
of them initially) and this is clearly not acceptable. Renegotiation is
permitted because this does not add any additional security issues: during
an attack clients do not see any renegotiations anyway.
As more servers become patched the option SSL_OP_LEGACY_SERVER_CONNECT will
not be set by default in a future version of OpenSSL.
OpenSSL client applications wishing to ensure they can connect to unpatched
servers should always set SSL_OP_LEGACY_SERVER_CONNECT
OpenSSL client applications that want to ensure they can not connect to unpatched servers (and thus avoid any security issues) should
always clear
SSL_OP_LEGACY_SERVER_CONNECT using SSL_CTX_clear_options() or
SSL_clear_options().
The difference between the SSL_OP_LEGACY_SERVER_CONNECT and
SSL_OP_ALLOW_UNSAFE_LEGACY_RENEGOTIATION options is that
SSL_OP_LEGACY_SERVER_CONNECT enables initial connections and secure renegotiation between OpenSSL
clients and unpatched servers only, while
SSL_OP_ALLOW_UNSAFE_LEGACY_RENEGOTIATION allows initial connections and renegotiation between OpenSSL and unpatched
clients or servers.
SSL_CTX_set_options() and SSL_set_options()
return the new options bitmask after adding options.
SSL_CTX_clear_options() and SSL_clear_options()
return the new options bitmask after clearing options.
SSL_CTX_get_options() and SSL_get_options()
return the current bitmask.
SSL_get_secure_renegotiation_support() returns 1 is the peer
supports secure renegotiation and 0 if it does not.
ssl(3), SSL_new(3), SSL_clear(3),
SSL_CTX_set_tmp_dh_callback(3),
SSL_CTX_set_tmp_rsa_callback(3),
dhparam(1)
SSL_OP_CIPHER_SERVER_PREFERENCE and
SSL_OP_NO_SESSION_RESUMPTION_ON_RENEGOTIATION have been added in OpenSSL 0.9.7.
SSL_OP_TLS_ROLLBACK_BUG has been added in OpenSSL 0.9.6 and was automatically enabled with SSL_OP_ALL. As of 0.9.7, it is no longer included in SSL_OP_ALL
and must be explicitly set.
SSL_OP_DONT_INSERT_EMPTY_FRAGMENTS has been added in OpenSSL 0.9.6e. Versions up to OpenSSL 0.9.6c do not
include the countermeasure that can be disabled with this option (in
OpenSSL 0.9.6d, it was always enabled).
SSL_CTX_clear_options() and SSL_clear_options()
were first added in OpenSSL 0.9.8m.
SSL_OP_ALLOW_UNSAFE_LEGACY_RENEGOTIATION, SSL_OP_LEGACY_SERVER_CONNECT
and the function SSL_get_secure_renegotiation_support() were
first added in OpenSSL 0.9.8m.
|


Last Day
We left Da Nang in the morning to get to Ho Chi Minh, everything went smoothly.
(Here more information about the flight for Da Nang to Ho Chi Minh). As we were
landing, Alexis prepared himself for his interview. It was a stressful process to
pass an interview through webcam but he did an amazing job (and also got the job
hehehe)
For our last day of our trip we decided to go shopping in a huge market. And for
once we were not hunted by the fact that we would have to transport everything for a
long period so we bought a few things! I treated myself with a new purse, the old
one was in a pretty bad shape. Alexis also got a bag and we bought a vietnamiens tea
set. We have a small collection of tea set so why not one more… After one last Pho
it was time to leave vietnam and to begging the next step in our lives back home.
But first we need to get home! This time it was an 24h trip, we had 3 flight and
pass through Korea and the United State. We left Ho Chi Minh early in the morning,
surprisingly there was a pretty long queue at the counter. A lot of people seems to
travel with a lot of package like if they were bringing back stuff to sell. We took
some extra steps for the two first flight and reserved seat with extra leg room for
alexis. All the flight went very well (here’s the details about the flights), the
first one we event get smoked salmon during the meal. I got to say, Qatar airway was
nice but Delta wasn’t far behind. After the first one we landed in korea and met a
pretty nice robot. Yes, Robot, he was roaming the airport and take picture with
tourist. After a quick meal and 4 hours of wait we were back in a plan to
Minneapolis
Once we landed in the USA we went through immigration in the line we learned the
amazing news that alexis got the job he passed an interview for. Side immigration
story, a woman decided that it was a good idea to skip the line, go under the rope
and skip the scanning. So as you can guess, that wasn’t a good idea and a butch of
us custom officer started yelling at the lady and they froze the entire custom until
the women was controlled. So she tried to skip waiting and lines and she probably go
stock over there for a few hours… Don’t go under the ropes at airport… it won’t be
shorter.
Once we got to our gate we start receiving a lot of message from friends in canada
asking if our flight was delayed and if we were going to be able to get back to
night. We king of didn’t understand. The flight was not delayed and the weather seem
fine until they send us picture of the weather in Montréal…. So they had a pretty
bad storm and part of the province lost electricity for days! A few minutes later we
received a series a picture of tree that had fled of in the street in Alexis
hometown…. We made a few call and my parents where we were going still had
electricity and the flight wasn’t delay so we were able to get back home that night
with no problem.
Around midnight we finally landed in Montréal, back home at last. But that’s not the
end of our trip yet, we still had to get to my parents house. So first we went to
pick up our car that was park at my grandparents house 30 minutes away from the
airport. Then we headed for my parents house. Of course as good canadien we stopped
on the way for some Tim horton…. Well, actually we stopped 3 times, not because we
needed a indecent amount of coffee but just because the first 2 place didn’t had
electricity…. 3h later we were at my parents house. A quick shower (god i missed
Canadian warm water stability) we were in our own bed! Well actually more like
mattress but still that was an incredible feeling. We never fell asleep that fast.


Start to understand humans as we really are.
We have potential. I'm into the origins of words,
I'll tell you, related words are
Potent!
Possible
¡Poder!
The point is potential. You can do a lot of things,
become many different things. What you become depends on a lot of things, too.
A lot of things are possible.
They say that knowledge is power, and that's really true.
It means that understanding, knowledge of reality, is power.
When you know how the whole world works,
you know how your choices will affect the world.
Then you can choose which possibility to make real.
When you understand yourself,
you will know how your choices will affect you.
You can then choose what you will become.
This stuff is real.
You can read about this in the Scientific American
and in the most ancient religious texts.
Meditation won't make you a good person.
If you want to be a good person, do good things.
If you want to meditate, do that.
This is the key! This is what Shia LaBeouf was shouting about.
You want to? Do it. You can.
I am giving you permission right now, and if someone tells you you can't do that,
tell them that I said, you can.
This is wrapped up with good and bad.
If you have power, you need to do good things, right?
What is the right thing to do?

Humans are made for love.
That's another thing that you can hear in the science podcast
and the ancient spiritual tradition.
I've thought at times that I was a monster, a parasite, and a hideous deformity.
I've thought that I was evil. I've thought that I deserved to die.
The truth is that I am a human.
The real parasite is the corporate machine feeding on the Earth
and that machine has been created by ordinary people.

This is why I need to speak out. I do it for every person who will know that there is another possibility.
Humans are made for love.
Love is what makes us kind.
Love is what makes us helpful.
Love is what makes us beautiful.
Love is what makes us good.
All we need do is remember that truth.
When we return to that love,
then we will be able to become better still.
We can be good to animals, to plants, and to the Earth.
First, we need to be good to ourselves.


---
layout: post
title: RIM Outlook Revised after Outages and Stalled Sales for PlayBook and BlackBerry
7 | Services Angle
date: '2011-11-21T10:48:00-08:00'
tags:
tumblr_url: http://alexhwilliams.tumblr.com/post/13118301881/rim-outlook-revised-after-outages-and-stalled-sales-for
---
RIM Outlook Revised after Outages and Stalled Sales for PlayBook and BlackBerry 7 | Services Angle
How much timed does RIM have?


Miscellaneous Show Info
ID: {{shopping.id}}
Film 1 Vote: {{shopping.vote_cnt_1}}
Film 2 Vote: {{shopping.vote_cnt_2}}
Film 3 Vote: {{shopping.vote_cnt_3}}
Film 4 Vote: {{shopping.vote_cnt_4}}
Film 5 Vote: {{shopping.vote_cnt_5}}
Film 6 Vote: {{shopping.vote_cnt_6}}
Film 7 Vote: {{shopping.vote_cnt_7}}
Film 8 Vote: {{shopping.vote_cnt_8}}


"A computer would deserve to be called intelligent if it could deceive a human into believing that it was human." - Alan Turing.
 It's an area of computer science that works on the creation of intelligent machines. It has become an essential part of the technology industry.
In AI, the core parts are:
Knowledge engineering-To react in ways that are similar to humans, machines need a lot of information. They need to have access to objects and observe various real-life situations to initiate common sense, reasoning and problem-solving.
Machine learning-A machine needs to learn in order to develop, and there are two ways of doing so. Learning without supervision which means the machine needs to identify patterns of inputs. Or learning with supervision. This process involves classification, knowing in which category an object belongs, and regressions, "obtaining a set of numerical input or output examples, thereby discovering functions enabling the generation of suitable outputs from respective inputs"
Machine Perception-Simply put it's the skill to use sensory inputs to understand the different aspect of objects and the world in general
Robotics-Robots need to be able to handle tasks, manipulating objects and travelling. Robotics is the one that takes care of that.
Fun Fact: Due to technological advancements, a phenomenon known as the AI effect was created. This means that the more AIs' are able to do and less tasks are being considered as requiring "intelligence".
From an extreme point of view, "AI is whatever hasn't been done yet".
Some of the activities computers with artificial intelligence are designed for include:


Some Features
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries,
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors


The Embeddable Build Status Plugin allows Jenkins to expose the current status of your build as an image in a fixed URL. You can put this URL into other sites (such as GitHub README) so that people can see the current state of the build.
By enabling this permission you grant anonymous external READ access to the /job/*/badge/icon URLs so
that the icon is accessible.
e.g. http://localhost:8080/jenkins/job/jobName/badge/icon


TKernelSampler is a base class for samplers that compute an output sample by collecting a number of samples in a local region of the actual sample coordinate. Subsamples are collected from a regular sampling grid by storing the sample
The size of the grid is equal to the size of the associated kernel. Descendants of this class should override the protected UpdateBuffer method.


[t]Dear {$formalname|escape}[/t]
[t]Enclosed you will find the test results of {$applicantName|escape}, who has just finished the personality test of Online Talent Manager.[/t]
[t]Best regards, {$website_name} {$website}[/t]


Projects
Here are some coding projects that I have been working on.
I. Chinese Character Converter (2018)
Created a Python program which converts Chinese characters to their readings in Pinyin (Mandarin), Jyutping (Cantonese), Korean, Vietnamese and Japanese.
GitHub Repository.
II. Evaluation of Crime Incidences in Boston (2016)
In a team of 2, evaluated crime incidences in Boston by using manipulating data from the City of Boston Datasets for Data Mechanics class.
Figure: Leaflet map that includes all police stations and visualizes the concentration of crimes in each district. Interact with it here.
See full project here:
GitHub Repository.
III. Vowel Analysis (2016)
I coded a Python program that attempts to differentiate Standard American English Vowels based on their frequency spectrums for my Computational Audio class. Accuracy around ~70% for given sample size.
GitHub Repository.


Daughter of Gérard de Villefort and Renée de Saint-Méran. She was due to inherit the fortune of her grandparents, the Marquis and the Marquise de Saint-Méran. This caused extreme envy in her step-mother Héloise de Villefort, who would rather see the inheritance go to her son Édouard.
Despite an arranged engagement with Baron Franz d'Épinay, she fell in love with Maximilien Morel. When her step-mother tried to poison her, the Count of Monte Cristo saved her and entombed her alive so that Gérard de Villefort would believe that he lost his daughter. Later, the Count brought her back so she could marry and live her life with Maximilien Morrel.


Advanced Mobility Infrastructure Solution - AMIS -
Add User
Name:
Car Type:
Show User
User Balance
User Reputation
User Sustainability
This project is under development and we welcome any contributions, submit a PR or just file an issue on our github page: https://github.com/ami-solution/transportation


| Modifier and Type | Interface and Description |
|---|---|
interface |
IAggregableReduceOp<T,V>
Created by huitseeker on 4/28/17.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AggregableCheckingOp<T>
A variant of
IAggregableReduceOp exercised on a Writable that takes schema metadata
in its constructor, and checks the input Writable against the schema before accepting it. |
class |
AggregableMultiOp<T>
This class transforms a list of
IAggregableReduceOp on one single field, each returning a Writable
and transforms it into an operation on that single column, that returns a Writable list. |
static class |
AggregatorImpls.AggregableCount<T> |
static class |
AggregatorImpls.AggregableCountUnique<T>
This distinct count is based on streamlib's implementation of "HyperLogLog in Practice:
Algorithmic Engineering of a State of The Art Cardinality Estimation Algorithm", available
here.
|
static class |
AggregatorImpls.AggregableFirst<T> |
static class |
AggregatorImpls.AggregableLast<T> |
static class |
AggregatorImpls.AggregableMax<T extends Number & Comparable<T>> |
static class |
AggregatorImpls.AggregableMean<T extends Number> |
static class |
AggregatorImpls.AggregableMin<T extends Number & Comparable<T>> |
static class |
AggregatorImpls.AggregablePopulationVariance<T extends Number>
This class offers an aggregable reduce operation for the population variance, i.e. the uncorrected estimator
of the arithmetic mean of squared differences to the mean.
|
static class |
AggregatorImpls.AggregableProd<T extends Number> |
static class |
AggregatorImpls.AggregableRange<T extends Number & Comparable<T>> |
static class |
AggregatorImpls.AggregableStdDev<T extends Number>
This class offers an aggregable reduce operation for the unbiased standard deviation, i.e. the estimator
of the square root of the arithmetic mean of squared differences to the mean, corrected with Bessel's correction.
|
static class |
AggregatorImpls.AggregableSum<T extends Number> |
static class |
AggregatorImpls.AggregableUncorrectedStdDev<T extends Number>
This class offers an aggregable reduce operation for the biased standard deviation, i.e. the estimator
of the square root of the arithmetic mean of squared differences to the mean.
|
static class |
AggregatorImpls.AggregableVariance<T extends Number>
This class offers an aggregable reduce operation for the unbiased variance, i.e. the estimator
of the arithmetic mean of squared differences to the mean, corrected with Bessel's correction.
|
class |
ByteWritableOp<T>
This class converts an
IAggregableReduceOp operating on a Byte to one operating
on Writable instances. |
class |
DispatchOp<T,U>
This class takes many
IAggregableReduceOp , each acting on one field, and each returning several
Writable elements, in the form of a list of Writable . |
class |
DispatchWithConditionOp<U>
A variant of
DispatchOp that for each operation, tests the input list of elements for a Condition ,
before dispatching the appropriate column of this element to its operation. |
class |
DoubleWritableOp<T>
This class converts an
IAggregableReduceOp operating on a Double to one operating
on Writable instances. |
class |
FloatWritableOp<T>
This class converts an
IAggregableReduceOp operating on a Float to one operating
on Writable instances. |
class |
IntWritableOp<T>
This class converts an
IAggregableReduceOp operating on a Integer to one operating
on Writable instances. |
class |
LongWritableOp<T>
This class converts an
IAggregableReduceOp operating on a Long to one operating
on Writable instances. |
static class |
StringAggregatorImpls.AggregableStringAppend |
static class |
StringAggregatorImpls.AggregableStringPrepend |
class |
StringWritableOp<T>
This class converts an
IAggregableReduceOp operating on a String to one operating
on Writable instances. |
| Modifier and Type | Class and Description |
|---|---|
static class |
CoordinatesReduction.CoordinateAggregableReduceOp |
| Constructor and Description |
|---|
CoordinateAggregableReduceOp(int n,
Supplier<IAggregableReduceOp<Writable,List<Writable>>> initialOp,
String delim) |
| Modifier and Type | Class and Description |
|---|---|
static class |
GeographicMidpointReduction.AverageCoordinateReduceOp |
| Constructor and Description |
|---|
Candidate(Supplier<C> value,
int index,
double[] flatParameters) |
| Modifier and Type | Class and Description |
|---|---|
class |
SerializedSupplier<T> |
| Modifier and Type | Method and Description |
|---|---|
EarlyStoppingConfiguration.Builder<T> |
EarlyStoppingConfiguration.Builder.scoreCalculator(Supplier<ScoreCalculator> scoreCalculatorSupplier)
Score calculator.
|
| Modifier and Type | Field and Description |
|---|---|
protected Supplier<INDArray> |
ParallelWrapper.modelParamsSupplier |
protected Supplier<INDArray> |
ParallelWrapper.Builder.modelParamsSupplier |
protected Supplier<INDArray> |
ParallelWrapper.updaterParamsSupplier |
protected Supplier<INDArray> |
ParallelWrapper.Builder.updaterParamsSupplier |
| Modifier and Type | Method and Description |
|---|---|
ParallelWrapper.Builder |
ParallelWrapper.Builder.modelParamsSupplier(Supplier<INDArray> supplier)
This method attaches supplier that'll probably provide model params update
PLEASE NOTE: This method is mostly used in Spark environment as part of fault tolerance logic
|
ParallelWrapper.Builder |
ParallelWrapper.Builder.updaterParamsSupplier(Supplier<INDArray> supplier)
This method attaches supplier that'll probably provide updater params update
PLEASE NOTE: This method is mostly used in Spark environment as part of fault tolerance logic
|
| Modifier and Type | Class and Description |
|---|---|
class |
ModelParamsConsumer
This consumer is responsible for storing model parameters received from network
|
class |
UpdaterParamsConsumer
This consumer is responsible for storing updater parameters received from network
|
Copyright © 2020. All rights reserved.


---
layout: post
title: John I of Castile
date: '2013-04-11T03:59:00+02:00'
categories:
- Storyboards
- Atoleiros Battle
picture_url: https://film-Storyboards.tumblr.com/post/47690120911/a-knighted-john-i-of-castile-approaches-lisbon
---
A knighted John I of Castile approaches Lisbon, metaphorical Storyboards.


Ingredients.This Pizza is the most affordable and pocket friendly pizza. It is made of crust, the sauce, cheese and topping;Pepperoni, thinly sliced Onions, thinly sliced raw or caramelized, Ham, thinly sliced.
Price (RS-800)Ingredients.The Pizza is made of Extra virgin olive oil; Cornmeal (to help slide the pizza onto the pizza stone); Tomato sauce (smooth, or puréed) Parmesan cheese, grated; Feta cheese, crumbled.
Price (RS-1300)Ingredients.The Pizza is made of several chocolate and silivay spices such as , Mushrooms, very thinly sliced if raw, otherwise first sautéed Bell peppers, stems and seeds removed, very thinly sliced, Italian pepperoncini, thinly sliced, Italian sausage, cooked ahead and crumbled Sliced black olives, Chopped fresh basil, Baby arugula, tossed in a little olive oil, added as pizza comes out of the oven Pesto.
Price (RS-1800)


| serverhandle = the server handle assigned when the server was created |
|
Accepts an incoming TCP/IP stream, and returns a TCP/IP stream if one is available, or 0 if not.
See CreateTCPServer and CloseTCPServer. |
|
; CreateTCPServer, CloseTCPServer, AcceptTCPStream Example
; This code is in two parts, and needs to be run seperately on the same machine ; --- Start first code set --- ; Create a server and listen for push svrGame=CreateTCPServer(8080) If svrGame<>0 Then Print "Server started successfully." Else Print "Server failed to start." End End If While Not KeyHit(1) strStream=AcceptTCPStream(svrGame) If strStream Then Print ReadString$(strStream) Delay 2000 End Else Print "No word from Apollo X yet ..." Delay 1000 End If Wend End ; --- End first code set --- ; --- Start second code set --- ; Copy this code to another instance of Blitz Basic ; Run the above code first, then run this ... they will 'talk' ; Create a Client and push data strmGame=OpenTCPStream("<IP_ADDRESS>",8080) If strmGame<>0 Then Print "Client Connected successfully." Else Print "Server failed to connect." WaitKey End End If ; write stream to server WriteString strmGame,"Mission Control, this is Apollo X ..." Print "Completed sending message to Mission control..." ; --- End second code set --- |


the and for {background African margin {border-style The are data px;} #ffffff;} Africa with COVID- sequencing genomics from has research that genomic ACDC This across health platforms this virus al., available countries global have px; {font-family SARS-CoV- could disease font-size hubs novel such technologies will Available all coronavirus double; from: information its not Ebola Elsevier June [cited against border-color border-width can continent. cost ensure epidemic genetic genomes including institutions laboratory other outbreak provide solid; viral {font-style {font-weight Africa. Central Genomics Infectious These Union West advanced analysis been bold cases centre centres courier; current em; epidemiology established generation genome high-throughput human infectious into number outbreaks pt;} resource samples should testing transmission


Simon Wicki (@zwacky)
Head of Frontend at JustWatch.com
What can OTA do for you?
Update your App outside AppStore/Play Store
Yes.
But... Your app has to be doing still the same.
What is available and what do they offer
How does it work?
In 3 steps
config.xml
PROTIP: or set it programmatically for stage/prod OTA updates in JS
window.codePush.checkForUpdate(
onUpdateCheck,
onCheckError,
isBetaTester() ? deployKeys.beta : deployKeys.prod
);
config.xml
index.html
// sugar method that does *everything*
codePush.sync();
more work, more flexibility
cordova prepare
// or whatever you use to package your app.
// basically to that point so that
// `ionic run [platform]` doesn't fail.
code-push release justwatch ./platforms/ios/www 0.5.11 -d "ios-stage"
code-push promote justwatch ios-stage ios-prod
Breaking the app
Ever wanted to release your mobile app more quickly?
Update finished. Thank you!


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 116395maths/96627doeslocalincreasingclassinstancedepthbreakmathlibrul.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/116395-maths/topic/does.20local.20increasing.20class.20instance.20depth.20break.20mathlib.20rul.html


SALES
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CONTACT-US
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456-567-4567
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Pats All Stores Sales and Info
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Subbmit


You are testing code that you’ve written, and you want to output detailed debugging information while the program runs. However, turning debugging on shows you information about all packages, making it difficult to trace the execution of your code.
Proximity uses log4j, a powerful tool that allows programmatic control of the debugging information that your program displays. Using log4j, you can send your output to different loggers using different levels of verbosity, you can dynamically change those levels, and you can associate different appenders to the loggers to send the output to different destinations such as the console, a file, a TCP/IP socket, or a database. Regretfully, log4j can also be hard to configure. In this recipe, we explain how Proximity uses log4j and guide you through the process of configuring log4j with some example setups.
Proximity currently uses three different loggers:
rootLogger
, the main logger, which receives the
messages from all the classes in the system
mil
, a logger for MIL
statements
milMessages
, another logger for MIL
statements
The two MIL loggers are used exclusively by the low-level database
classes. By default, all messages from the main logger are routed to
the console at a low level of verbosity (INFO
).
However, if you want to see more or less debugging output,
you can change the verbosity level, or attach new appenders with a
different verbosity and send their output to a different location
(for example, a file where you save all the DEBUG
statements). Alternately, it is also possible to use different
appenders for individual packages or classes, thereby having a finer
control of the output.
Changing verbosity levels, changing or adding output
destinations, and much more, is done through the
prox.lcf
configuration file. Proximity looks for
this file in the directory from where it’s launched, and uses it
to configure log4j before execution begins. The Proximity
distribution includes examples of different configuration files under
the example/config
directory.
The most basic configuration file,
info.lcf
, is equivalent to the default
setup:
log4j.rootLogger=INFO, A1
log4j.appender.A1=org.apache.log4j.ConsoleAppender
log4j.appender.A1.layout=kdl.prox.util.TimeStampLayout
log4j.appender.A1.layout.ConversionPattern=%-9r %-5p %c{2}: %m%n
The first line sets the verbosity level of the main logger
(rootLogger
) to INFO
, and attaches an
appender named A1
to it. The other lines define the
A1
appender, send its output to the console, and
specify a particular format for the messages.
You can save a copy of all the logging output to a file, as
the configuration file info-plus-file.lcf
shows:
log4j.rootLogger=INFO, A1, A2
log4j.appender.A1=org.apache.log4j.ConsoleAppender
log4j.appender.A1.layout=kdl.prox.util.TimeStampLayout
log4j.appender.A1.layout.ConversionPattern=%-9r %-5p %c{2}: %m%n
log4j.appender.A2=org.apache.log4j.FileAppender
log4j.appender.A2.File=prox.log
log4j.appender.A2.Append=false
log4j.appender.A2.layout=kdl.prox.util.TimeStampLayout
log4j.appender.A2.layout.ConversionPattern=%-9r %-5p %c{2}: %m%n
The first line attaches an additional appender (A2
) to
the main logger, which is configured to send the output to a file
named prox.log
, using the same format as the
A1
appender.
What if you want to get more detailed debugging information for
a particular package or individual file? Simply
increase the verbosity level for that class, as is shown in the
module-debug.lcf
configuration file:
log4j.rootLogger=INFO, A1
log4j.appender.A1=org.apache.log4j.ConsoleAppender
log4j.appender.A1.layout=kdl.prox.util.TimeStampLayout
log4j.appender.A1.layout.ConversionPattern=%-9r %-5p %c{2}: %m%n
log4j.logger.kdl.prox.dbmgr.NST=DEBUG
log4j.logger.kdl.prox.sample=DEBUG
In this particular case, the output will be the same as before except
for the NST
class and all the classes in the
sample
package, which will report their information at
the highest level of verbosity (DEBUG
). Notice that the
output won’t be sent to a
prox.log
file, as in the previous example.
To do that, add a second appender and configure it as
A2
in the configuration file above.
If you want to get as much debugging information as possible
without getting distracted by the exhaustive logging of the
database layers, you can set the default level to
DEBUG
and selectively decrease the level for the
database loggers, following the technique demonstrated above. An
example of this configuration is shown in
debug-except-db.lcf
:
log4j.rootLogger=DEBUG, A1
log4j.appender.A1=org.apache.log4j.ConsoleAppender
log4j.appender.A1.layout=kdl.prox.util.TimeStampLayout
log4j.appender.A1.layout.ConversionPattern=%-9r %-5p %c{2}: %m%n
# reduce monet-related debug output, and output from the DB classes
log4j.logger.mil=WARN
log4j.logger.milMessages=WARN
log4j.logger.kdl.prox.db=WARN
log4j.logger.kdl.prox.dbmgr=WARN
log4j.logger.kdl.prox.monet.Connection=WARN
log4j.logger.kdl.prox.util.MonetUtil=WARN
Note that the level for the root logger is set to DEBUG
,
the most verbose level, while all the database-related classes are set
to WARN
, the least verbose of all levels.
As a final example, consider the extremely rare situation in which the
lower database layer is failing. In such a case, you want to use
the highest level of debugging possible and also save a log of the
Monet statements (MIL commands). The file
full-debug-plus-mil-file.lcf
illustrates the
corresponding configuration:
log4j.rootLogger=DEBUG, A1
log4j.appender.A1=org.apache.log4j.ConsoleAppender
log4j.appender.A1.layout=kdl.prox.util.TimeStampLayout
log4j.appender.A1.layout.ConversionPattern=%-9r %-5p %c{2}: %m%n
# Send MIL to the console
log4j.additivity.mil=true
# And to a file appender
log4j.logger.mil=DEBUG, A3
log4j.logger.milMessages=DEBUG, A3
# Create the prox.log.mil file with RAW instructions
log4j.appender.A3=org.apache.log4j.FileAppender
log4j.appender.A3.File=prox.log.mil
log4j.appender.A3.Append=false
log4j.appender.A3.layout=org.apache.log4j.PatternLayout
log4j.appender.A3.layout.ConversionPattern=%m%n
Note the use of the database-related loggers,
mil
and milMessages
. They are configured
such that their output is added to that of the main logger, and such
that the MIL commands get saved to a prox.log.mil
file in a raw format.
The examples above cover all the configuring options that we have ever had to use while writing and debugging Proximity: They use different loggers, create one or more appenders, and change the level of verbosity for individual classes and packages. You can combine these options to suit your needs, including writing the output of different packages to separate files, or setting different verbosity levels for groups of classes in the same package.
All the examples above are included in the Proximity
distribution, under the /example/config/
directory.
For more information and configuration options, consult the log4j documentation.


Kanban Drag and Drop Interface Layout
Inspired by
Trello
, and
Google Keep
,
Invision
and
@aaronstump
On Hold
In Progress
Needs Review
Approved
Drag and drop functionality by
bevacqua/dragula


PathInterpolator QML Type
Specifies how to manually animate along a path More...
| Import Statement: | import QtQuick 2.7 |
Properties
Detailed Description
PathInterpolator provides x
, y
, and angle
information for a particular progress
along a path.
In the following example, we animate a green rectangle along a bezier path.
import QtQuick 2.0 Rectangle { width: 400 height: 400 PathInterpolator { id: motionPath path: Path { startX: 0; startY: 0 PathCubic { x: 350; y: 350 control1X: 350; control1Y: 0 control2X: 0; control2Y: 350 } } NumberAnimation on progress { from: 0; to: 1; duration: 2000 } } Rectangle { width: 50; height: 50 color: "green" //bind our attributes to follow the path as progress changes x: motionPath.x y: motionPath.y rotation: motionPath.angle } }
Property Documentation
This property holds the angle of the path tangent at progress.
Angles are reported clockwise, with zero degrees at the 3 o'clock position.
path : Path |
This property holds the path to interpolate.
For more information on defining a path see the Path documentation.
This property holds the current progress along the path.
Typical usage of PathInterpolator is to set the progress (often via a NumberAnimation), and read the corresponding values for x, y, and angle (often via bindings to these values).
Progress ranges from 0.0 to 1.0.
These properties hold the position of the path at progress.
These properties hold the position of the path at progress.


| MATLAB 文件帮助: cv.decolor | 查看 cv.decolor 的代码 | Index |
decolor Transforms a color image to a grayscale image
[grayscale,color_boost] = cv.decolor(src)
[grayscale,color_boost] = cv.decolor(src, 'OptionName',optionValue, ...)
src
to Lab color space, replacing the
lightness channel with grayscale
, and converting back to RGB color
space.src
and output color_boost
, between MATLAB's RGB order and
OpenCV's BGR (input: RGB->BGR, output: BGR->RGB). default trueIt is a basic tool in digital printing, stylized black-and-white photograph rendering, and in many single channel image processing applications [CL12].
This function is to be applied on color images.
[CL12]:
Cewu Lu, Li Xu, and Jiaya Jia. "Contrast preserving decolorization". In Computational Photography (ICCP), 2012 IEEE International Conference on, pages 1-7. IEEE, 2012.


Your team profile cards
Jerome
Manager ID number: 1
Email:
<EMAIL_ADDRESS>Manager Office Number: 867-5309
Tyler
Engineer ID number: 24
Email:
<EMAIL_ADDRESS>Github profile:
TylerBYeager
Farley
Intern ID number: 42
Email:
<EMAIL_ADDRESS>Intern's School name: Meow State University


Glossary
Definitions of some terms used throughout the docs.
- Advanced Relationship
-
A relationship between two objects that is more complicated than the traditional DataMapper relationship. This includes multiple relationships between the same two objects, and self-relationships.
- Deep Relationship
-
A deep relationship is any object that is not related directly to the current object. It is usually specified as a string in the format 'direct/indirect/indirect/...'.
See: Get (Advanced)
- DMZ
-
A common way of shortening DataMapper OverZealous Edition. I like the TLA better than DMOZE.
- Extension
-
A class that can be used to add functionality to DMZ without modifying the source code.
- Has Many ($has_many)
-
A relationship where there can be more than one of the related objects.
See: Database Tables, DataMapper Models, Many-to-Many Relationship, One-to-Many Relationship
- Has One ($has_one)
-
A relationship where there can only be one of the related objects.
See: Database Tables, DataMapper Models, One-to-Many Relationship, One-to-One Relationship
- In-Table Foreign Keys (ITFK)
-
A way of joining has one relationships without using a dedicated table.
See: Database Tables
- Join Field
-
Extra columns on a join table that are used to store information about the relationship.
- Join Table
-
A dedicated database table used to join two related objects.
See: Database Tables
- Many-to-Many Relationship
-
A relationship where each object can have many of the other object. An example would be User <-> Task. Each user can have many tasks, and each task can have many users.
See: Relationship Types
- Many-to-One Relationship - See One-to-Many Relationship
- Method Chaining
-
A feature of PHP5 and DataMapper that allows you to call multiple methods in a chain, instead of having each on their own line.
See: Get
- One-to-Many Relationship
-
A relationship where one object A has can only have one B, but object B can have many A's. This is the most common type of relationship. An example would be User <-> Group. Groups can have many users, but each user belongs to just one group.
See: Relationship Types
- One-to-One Relationship
-
A relationship where each object is related to just one of the other type. This is often used to separate out information that isn't used as often from one of the objects. An example would be User <-> UserPreferences.
See: Relationship Types
- ORM
-
Object-Relational Mapping. What DataMapper does.
See: Wikipedia
- Overzealous
-
Adjective: Too zealous; Too determined. What someone must be to spend this much time on an ORM library. ;-)
- Query Grouping
-
Usually, adding parentheses around sections of your query to ensure that the elements are tested in the correct order.
See: Get
- Rules - See Validation Rules
- Self Relationship
-
An advanced relationship where an object has a relationship with itself. An example would be a corporate organizational chart.
- Singular Relationship - See Has One
- Validation Rules
-
A series of commands that DataMapper can use to verify that correct data was input.
See: Validation


TEDxUChicago is a student organized, independently hosted TEDx event, licensed by TED. Our upcoming conference Look Again! will be held in May 2018.
As Creative Design Chair for the 2017 conference Changing Channels, I had the opportunity to create all of the branding and print designs for the conference.
This included:
• Lanyards for speakers, board members
• T-shirts
• Conference Program
• Social media banners, promos
• Flyers
• Event geofilter
From start to finish, I had less than six weeks to complete all of the designs so that they could be printed by the conference date. This was a much shorter amount of time than usually alotted to the Design Chair because I was only brought on board mid March.
Because of this time crunch, there are some inconsistencies in design due to changes I made after already submitting things to the printing company.
The lanyards for the conference were the first designs to be submitted, done within a week and a half of being on board. I realized that white was too drastics of a contrast and black was too dark for the background, leading to the shades of grey found in all the later designs.
I also found that having three partial bars instead of two that spanned across the entire page made designing easier and more interesting, particularly when it came to layout for the conference program.


|
Panda3D
|
This global object records NodePaths that are referenced by scene graph attribs, such as ClipPlaneAttribs and LightAttribs. More...
Public Member Functions | |
| addNode (const NodePath attrib_node) | |
| Adds the indicated NodePath to the registry. More... | |
| clear () | |
| Removes all nodes from the registry. More... | |
| int | findNode (const NodePath attrib_node) |
| Returns the index number of the indicated NodePath in the registry (assuming its name hasn't changed since it was recorded in the registry), or -1 if the NodePath cannot be found (for instance, because its name has changed). More... | |
| int | findNode (TypeHandle type, str name) |
| Returns the index number of the node with the indicated type and name in the registry, or -1 if there is no such node in the registry. More... | |
| NodePath | getNode (int n) |
| Returns the nth NodePath recorded in the registry. More... | |
| str | getNodeName (int n) |
| Returns the name of the nth node, as recorded in the registry. More... | |
| list | getNodes () |
| TypeHandle | getNodeType (int n) |
| Returns the type of the nth node, as recorded in the registry. More... | |
| int | getNumNodes () |
| Returns the total number of nodes in the registry. More... | |
| NodePath | lookupNode (const NodePath orig_node) |
| Looks up the indicated NodePath in the registry. More... | |
| output (Ostream out) | |
| bool | removeNode (const NodePath attrib_node) |
| Removes the indicated NodePath from the registry. More... | |
| removeNode (int n) | |
| Removes the nth node from the registry. More... | |
| write (Ostream out) | |
Static Public Member Functions | |
| static AttribNodeRegistry | getGlobalPtr () |
This global object records NodePaths that are referenced by scene graph attribs, such as ClipPlaneAttribs and LightAttribs.
Its primary purpose is to unify attribs that are loaded in from bam files. Attrib nodes are identified by name and type; when a bam file that contains references to some attrib nodes is loaded, those nodes are first looked up here in the AttribNodeRegistry. If there is a match (by name and node type), the identified node is used instead of the node referenced within the bam file itself.
| addNode | ( | const NodePath | attrib_node | ) |
Adds the indicated NodePath to the registry.
The name and type of the node are noted at the time of this call; if the name changes later, it will not update the registry index.
The NodePath must reference some kind of an attribute node, such as a LightNode or a PlaneNode. When bam files that reference an attribute node of the same type and the same name are loaded, they will quietly be redirected to reference this NodePath.
If there is already a node matching the indicated name and type, it will be replaced.
| clear | ( | ) |
Removes all nodes from the registry.
| int findNode | ( | const NodePath | attrib_node | ) |
| int findNode | ( | TypeHandle | type, |
| str | name | ||
| ) |
Returns the index number of the node with the indicated type and name in the registry, or -1 if there is no such node in the registry.
|
static |
| str getNodeName | ( | int | n | ) |
Returns the name of the nth node, as recorded in the registry.
This will be the node name as it was at the time the node was recorded; if the node has changed names since then, this will still return the original name.
| list getNodes | ( | ) |
| TypeHandle getNodeType | ( | int | n | ) |
Returns the type of the nth node, as recorded in the registry.
| int getNumNodes | ( | ) |
Returns the total number of nodes in the registry.
| output | ( | Ostream | out | ) |
| bool removeNode | ( | const NodePath | attrib_node | ) |
| removeNode | ( | int | n | ) |
Removes the nth node from the registry.
| write | ( | Ostream | out | ) |


acl acl2010 acl2010-222 acl2010-222-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Laura Chiticariu ; Rajasekar Krishnamurthy ; Yunyao Li ; Sriram Raghavan ; Frederick Reiss ; Shivakumar Vaithyanathan
Abstract: As information extraction (IE) becomes more central to enterprise applications, rule-based IE engines have become increasingly important. In this paper, we describe SystemT, a rule-based IE system whose basic design removes the expressivity and performance limitations of current systems based on cascading grammars. SystemT uses a declarative rule language, AQL, and an optimizer that generates high-performance algebraic execution plans for AQL rules. We compare SystemT’s approach against cascading grammars, both theoretically and with a thorough experimental evaluation. Our results show that SystemT can deliver result quality comparable to the state-of-the- art and an order of magnitude higher annotation throughput.


 Now that I have
the massive
GoGoD database
What I did was to simply scan all of the games from the GoGoD database using Python and Regular Expressions (patterns in text) to extract the information from each SGF file. After going through all the pain of scraping the database, I found out that the database software it ships with allows for exporting all the data (except for the games themselves) through a CSV file. But when I tried that feature, it wasn’t working properly, the exporting process would always give me an error. Thus, I continued on with my code, it wasn’t a waste of time after all — I did learn many things about regular expressions anyway.
After the painstaking process of extracting the data, I finally managed to get everything into a Pandas DataFrame; it’s a bit tough on your computer since it has approximately 200 MB of data, but ok. If you get rid of the moves column, it goes down to only 13 MB. Anyway, I don’t want to make either of the tables freely available because it probably infringes a lot of the copyrights of the GoGoD database. Despite that, I can make my code available, as you can basically only try it if you have paid for the product, and you can find it in this Github Repo — if you have the know-how, try checking and reproducing my results, it’s important to have results verified in science after all… Now let’s move on to some of the statistics.
This one is not so interesting since you can just manually scrape go4go and find out who the champions are. It’s no surprise to any veteran Go player that the winners of the ranking would be Cho Chikun 9p and Cho Hunhyeon 9p. Nonetheless, here are the top 10 as of the date I bought the database, about 3 months ago:
- Cho Chikun (2142)
- Cho Hunhyeon (2023)
- Lee Changho (1917)
- Rin Kaiho (1705)
- Hashimoto Utaro (1552)
- Kobayashi Koichi (1427)
- Seo Bongsoo (1367)
- Sakata Eio (1349)
- Kato Masao (1336)
- Lee Sedol (1295)
I think it was in the Ogawa & Davies’s book about the yose (endgame)
that I first read about this statistic, and it seems that they were
pretty much on point, because in the book they estimated —
probably from studies with pros — it as 220; and, from this
database, it seems to be around 208
In their book about the endgame, that number was used to show that not only is Go a marathon, but about half of the game is spent in the yose, because the last part of the game usually ranges from 100-150 moves. Henceforth, I hope you have no excuse for neglecting the endgame.
This kind of statistic is also somewhat relevant for calculating the
complexity of Go. One common estimate is to assume that, on average,
Go has 5 candidate moves per turn
What is the percentage of players for each rank
It seems that nowadays a quarter of the active players is composed by 9 dan professionals, even though it’s the highest rank, which is understandable because the end of the ranking acts as a bottleneck. I would explain the higher numbers for the 1p-3p range as coming from the fact that the effort to get there is much smaller than getting to 5p — there are some automatic promotions up to a certain rank — and beyond, or at least that’s how most Go associations seem to think it should be.
As for the global results, I would say that today’s ranking system is
harder?
Out of all the games we have (close to 94,000), Black seems to have a slight edge, at a 51.5% win rate. But, if you check the most recent games, say, the last 5,000, the trend flips, and now White has the approximate 51.5%.
The main problem with komi or trying to correct the percentage to the perfect 50% is that, besides being inherently imbalanced, due to the unattainable 0.5 point, there might not be a perfect compensation, maybe the 19×19 board is imbalanced by definition. At any rate, this 1.5% sliver is kind of minuscule and shouldn’t change anyone’s life — except for Ke Jie 9p’s… —, I mean at least until the droids become living beings.
That’s it for me, I’m kind of out of ideas and wanting to enjoy my vacation. I hope this article will spark some new questions somewhere, just so we can explore them together.


Lanyang API - Test-Pages
Action:
validate
stu-info
stu-score
Student ID :
Student Password :
Repository:
https://github.com/LckySndays/LanyangAPI


(Also to be leveraged for the purposes of development of the package)
Hello, {{mainCtl.username}}! This in an angular app!
For simplicity's sake, no css dependency is included with this package-- just the angular.min.js and corresponding .map files. To make your CIs (Circle Images) behave more like standard images, add the following style somewhere in your CSS:
.ci-wrapper { display: inline-block; vertical-align: middle; }
Smaller than source image :
Same diameter as smallest dimension of the source image :
It can even be set larger than the source image (some pixelation may occur in the upsizing) :
Handles any orientation:
Portait :
Landscape :
Square :
Looks weird without balance :
Added balance to center the face in the circle :
Also works for left/right :
(Omitted 'ci-balance' values will default to "center")


Age Verification
By clicking enter, I certify that I am over the age of 21 and will comply with the above statement.
SHOCKTAIL
Alcoholic
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Alcoholic
close
Vodka
Rum
Tequila
Gin
Whiskey
Jagermeister
Fruits
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Fruits
close
Orange
Banana
Lemon
Pineapple
Lime
Strawberry
Non-Alcoholic
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close
Orange Juice
Milk
Coca-Cola
Soda Water
Coffee
Sugar Syrup
Save
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Ng-bcomponents is an Angular 2 component library of Bootstrap 3 components intending to make HTML markup simpler. Ng-bcomponents also allows you initialize bcomponents in code.
Ng-bcomponents is great for making HTML bootstrap markup simpler. Take the modal for example:
The markup for this demo looks like this:
{{code.modal}}


In Class Part 1 - Cound
I think we only did basic html structure and h1 tags on this day, so not much to see on this page!


Hello my name is Martin Lee and I am a senior at San Francisco State University. I am a Computer Science major, and hope to go into video game development in the future. I have experience coding in Java and C+. I'm starting to learn more about Python.


The information security policy should include key-management procedures.
Proper key management procedures ensure that cryptography is applied correctly and securely.
Review the information security policy to make sure it includes key-management procedures.
Identify the company's cryptography needs. Design and implement key management procedures to accommodate those needs.


Kodilla CRUD App
Add a new book to borrow
--- select an board ---
Add a new book reader
--- select an board ---
Borrow Book
Borrowed Books from the API
Book copy id
Title
Name
Reader
Book
Create date
Return date
Submit update
Abort update
Return Book


Spanish court rules Ryanair hand luggage fee is 'abusive' and orders Irish airline to cancel it
A passenger went to court after airline staff forced her to pay €20 to bring her 10 kilo luggage on board
by Elena Rodriguez, Emma Pinedo, Jessica JonesA Spanish court on Wednesday ruled budget carrier Ryanair's policy of charging a fee for hand luggage was "abusive" and could no longer be levied in Spain.
The ruling stemmed from a passenger complaint over the policy, introduced last year, which charges most people an additional fee on top of their ticket price for bringing anything more than one personal item into the cabin.
"This ruling will not affect Ryanair's baggage policy, either in the past or in the future, as it is an isolated case that misinterpreted our commercial freedom to determine the size of our cabin baggage," Ryanair said in a statement.
When asked if it was planning to ignore the Spanish ruling or appeal it in the European Court of Justice, Ryanair declined to comment.
The passenger, travelling from Madrid to Brussels, went to court after airline staff forced her to pay €20 to bring her 10 kilo luggage on board.
The court ordered Ryanair to refund her the €20 plus interest, but rejected her demand for compensation of a further €10 for the suffering she experienced, according to court documents.
The judge ruled that the hand luggage, by size and weight, could be easily carried in the cabin, pointing to a Spanish regulation that allows passengers to take hand luggage on board at no additional cost.
The judge characterised the charge as abusive, adding that it "curtailed the rights that the passenger has recognised by law", and declared it invalid in Spain.
She rejected the demand for compensation, however, saying that while doubtless "the passenger suffered rage and powerlessness in having to pay the extra unforeseen cost at the time of boarding" the discomfort did not reach a level that would justify compensation.
The court said in a statement that its ruling cannot be appealed.
How to follow the Irish Mirror on social media
You can like our main Facebook page here.
Our Irish Mirror Sports page - which brings you all your Irish and UK sports news - can be found here.
You can also check out our Irish Mirror GAA sports page.
The Irish Mirror Twitter account is @IrishMirror while our sports account is @MirrorSportIE.
Our Instagram account can be found here.


What are the best practices associated with using classes vs. ids?
Classes and ids are in HTML because they allow us to edit specific sections of HTML in CSS.
Ids are indicated in CSS by a period '.' before the name of the id,
classes are indicated by a hash '#' before its name.
Classes are for being used all over the website and for making a section show how you want each page to be.
Ids are for a specific one thing on the page, for styling a section apart from the class.


European car sales accelerate to decade-high speed in October
PARIS, Nov 19 — European car sales hit their highest October level in a decade, an industry body said today, as the sector recovers from a stall last year over tighter pollution regulations.
The 8.7 per cent rise in registration to 1.18 million vehicles “marked the highest October total on record since 2009,” said the European Automobile Manufacturers Association.
Year-on-year comparisons are inflated as a number of carmakers had difficulty meeting the stricter pollution WLTP measuring methodology that went into force on September 1, 2018, sending sales more than seven per cent lower in October last year.
Over the first 10 months of this year, sales are 0.7 per cent lower compared to the same period last year.
A global growth slowdown triggered by trade wars and Brexit uncertainty has hit the car industry particularly hard, with German carmaker Volkswagen saying last month that worldwide demand has fallen around five per cent. — AFP


monaco-speech-editor
Monaco Speech Editor is an online code editor for visually impaired people. It provides several built-in functions to make it easy to read, edit and compile.
Quick Start
Try the editor out on my website.
Run Locally
Since this web application was written with pure JS and didn’t use any framework, it is easy to run locally.
First, download the repository.
git clone https://github.com/luochang212/monaco-speech-editor.git
Then, open monaco-speech-editor
.
Now, click index.html
, it will open in your browser.
Features
File Manager:
- Create a file
- Delete a file
- Rename a file
- Upload a file
- Download a file
- Restore a file
Console:
- Display HTML file in an iframe
- Display HTML file in a new tab
- Display HTML file in a new window
- Display the output of console.log()
Themes:
- Day mode
- Night mode
Accessibility:
-
Toolbar: Including Syntax highlighting, Jump to line, Play previous line, Play current line, Play next line.
-
Reading mode: Including Character Mode, Code Mode, Music Mode, Overview mode.
-
Spotlight: It is a list of settings that allows you to turn on or turn off settings.
-
Linear Index: It is a list of features and corresponding hotkeys.
Initialize The Editor with Routers
If you are a visually impaired user, Please open the website above and add a router #tutorial
after the address to play an audio tutorial automatically. PS: this audio might not be played on google chrome because of the policy of google chrome.
If you are a person with normal vision, Please open the website above and add a router #mute
to disable any autoplay event.
Complete list of routers
| Router | Setting |
|---|---|
| #load-demo | Load demo |
| #dark | Turn on night mode |
| #full-screen | Full screen |
| #run | Open console bar |
| #tutorial | Play audio tutorial |
| #spotlight | Turn on spotlight |
| #linear-index | Turn on linear index |
| #character-mode | Trun on character mode |
| #code-mode | Turn on code mode |
| #overview-mode | Turn on overview mode |
| #voice-feedback | Turn on voice feedback |
| #voice-cue | Turn on voice cue |
| #mute | Disable any autoplay event |
| #dark&run | Turn on night mode and console bar |
| #dark&mute | Turn on night mode and disable any autoplay event |
Dependencies
FAQ
❓Is the editor supported in mobile browsers or mobile web app frameworks?
No, both Monaco Editor and Web Speech API can’t work well on mobile browser.
❓How to use routers to configure the initial setting？
For example, If you open https://luochang212.github.io/gadget/monaco-speech-editor/#dark&mute. Monaco Speech Editor will turn on night mode and disable any autoplay event for you.
License
MIT License


ClientSynchronizer
An instance of this class will be able to handle tasks needed to implement Differential Synchronization for a specific type of documents.
<T>
the type of Documents that this synchronizer can handle
<D>
the type of Edits that this synchronizer can handle
<P>
the type of PatchMessage that this synchronizer can handle
-
Called when the shadow should be patched. Is called when an update is recieved.
Declaration
Swift
func patchShadow(edit: D, shadow: ShadowDocument<T>) -> ShadowDocument<T>
Parameters
edit
the Edit containing the diffs/patches.
shadowDocument
the ShadowDocument to be patched.
Return Value
ShadowDocument a new patched shadow document.
-
Called when the document should be patched.
Declaration
Swift
func patchDocument(edit: D, clientDocument: ClientDocument<T>) -> ClientDocument<T>
Parameters
edit
the Edit containing the diffs/patches.
document
the ClientDocument to be patched.
Return Value
ClientDocument a new patched document.
-
Produces a Edit containing the changes between updated ShadowDocument and the ClientDocument. This method would be called when the client receives an update from the server and need to produce an Edit to be able to patch the ClientDocument.
Declaration
Swift
func clientDiff(clientDocument: ClientDocument<T>, shadow: ShadowDocument<T>) -> D
Parameters
shadowDocument
the ShadowDocument patched with updates from the server
document
the ClientDocument.
Return Value
Edit the edit representing the diff between the shadow document and the client document.
-
Produces a Edit containing the changes between the updated ClientDocument and the ShadowDocument.
Calling the method is the first step in when starting a client side synchronization. We need to gather the changes between the updates made by the client and the shadow document. The produced Edit can then be passed to the server side.Declaration
Swift
func serverDiff(serverDocument: ClientDocument<T>, shadow: ShadowDocument<T>) -> D
Parameters
document
the ClientDocument containing updates made by the client.
shadowDocument
the ShadowDocument for the ClientDocument.
Return Value
Edit the edit representing the diff between the client document and it’s shadow document.
-
Creates a PatchMessage by parsing the passed-in json.
Declaration
Swift
func patchMessageFromJson(json: String) -> P?
Parameters
json
the json representation of a PatchMessage.
Return Value
PatchMessage the created PatchMessage.
-
Creates a new PatchMessage with the with the type of Edit that this synchronizer can handle.
Declaration
Swift
func createPatchMessage(id: String, clientId: String, edits: [D]) -> P?
Parameters
documentId
the document identifier for the PatchMessage.
clientId
the client identifier for the PatchMessage.
edits
the Edits for the PatchMessage.
Return Value
PatchMessage the created PatchMessage.
-
Adds the content of the passed in content to the ObjectNode.
When a client initially adds a document to the engine it will also be sent across the wire to the server. Before sending, the content of the document has to be added to the JSON message payload. Different implementation will require different content types that the engine can handle and this give them control over how the content is added to the JSON string representation.
For example, a ClientEngine that stores simple text will just add the contents as a String, but one that stores JsonNode object will want to add its content as an object.Declaration
Swift
func addContent(content:ClientDocument<T>, fieldName:String, inout objectNode:String)
Parameters
content
the content to be added.
objectNode
as a string to add the content to.
fieldName
the name of the field.


We are some freaks who believe in providing better solutions to the problems that exist in the society through the means of entrepreneurship!
TAILOR MADE TRANSPORTATION SERVICES
*Know More*MAGIC OF AMAZING THEMES TO BREAK THE MONOTONY
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*Know More*“Only
a life lived
for others
is a life
worthwhile"
Want to advertise through our
E-rickshaws?


In order to configure a pin to be used for input on the Arduino, the pin direction must be set to "0" in that pin's direction register. Consider the following example that sets up pin 11 on the Arduino, and then reads it.
//Arduino Pin 11 Maps to PORTB bit 3.
uint8_t directionRegData = DDRB;
//Set the 3rd bit to "0" for input.
directionRegData &= !0x03;
DDRB = directionRegData;
//Now read the input once.
uint8_t inputRegData = PINB;
//Mask out all bits of read data
//except the 3rd bit.
uint8_t currentButtonState = inputRegData &= 0x03;
© 2017


Application 'bundle'. In PG/Cordova should be in 'widget id'.
If not set, the information from config.xml will be used. If set, the config.xml will be modified in Jenkins' working directory.
Beware: If you ask Phonegap Build plugin to override this field in www/config.xml, you better make sure you reset your git or svn working copy with every build.


Home
Oregon :: Locate The Law
Constitution
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(Oregon State Legislature)
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(Oregon State Archives)
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(Oregon State Archives)
searchable
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(Oregon Governor)
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- includes rules and forms
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(Oregon Secretary of State)
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(Oregon Legislature)
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(Oregon Legislature)
provided by the Oregon Legislative Counsel, Oregon Legislative Information Systems, and the Department of Administrative Services; updated daily
Oregon Legislature
- composed of the
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---
layout: blank
title: About
permalink: /about/
---
About Us
HIPSCI BRINGS TOGETHER DIVERSE CONSTITUENTS IN GENOMICS, PROTEOMICS, CELL BIOLOGY AND CLINICAL GENETICS TO CREATE A GLOBAL IPS CELL RESOURCE AND USE IT TO CARRY OUT CELLULAR GENETIC STUDIES


giraffe-web
Giraffe dashboard for Graphite wrapped in a webserver
Jump to Section
Introduction
Giraffe is an awesome dashboard for Graphite
Big Kudos to @kenhub
This project : - merely extends it into a webserver - allows you to specify your own config file without changing the Giraffe content - allows you to proxy requests to an internal Graphite server - provides a self executable version requiring nothing but bash to run it
This project is maintained at:
http://github.com/jedi4ever/giraffe-web.js
Installation
a) Installing giraffe-web is easy. You can install it like any other npm module
npm install giraffe-web
b) For your convenience we provide a bashpack
allowing you to run it without having node installed.
Download it for your platform:
Note: Bashpacks are nodejs applications wrapped in a simple shell-executable.
Usage
CLI options
$ ./bin/giraffe-web
Usage: giraffe-web [options]
Options:
-h, --help output usage information
-V, --version output the version number
-p, --port <port> port to listen on [9000]
-c , --config-file [configFile] Giraffe dashboard.js file containing the dashboards
--graphite-url [url] Graphite Host to connect to [http://localhost:8080]
--proxy-graphite If enabled, this server will proxy graphite requests to the Graphite host specified [false]
Running it
./bin/giraffe-web -c dashboard.js --proxy-graphite --graphite-url=http://your-graphite-url
Configuration
You need to create your own Giraffe dashboards.js
file.
Checkout the detailed description on configuring Giraffe
https://github.com/kenhub/giraffe#configuration
Building and Testing
We rely on Grunt tasks to do our job
Testing
grunt test
We currently only lint testing
Updating Giraffe code
We fetch the giraffe into vendor
/giraffe
Updating can be done via
grunt bower
Building Documentation
We generate the Readme and the Jsdocs
grunt docs
Building Bashpacks
We generate two bashpacks (that go into dist)
grunt bashpack:linux
grunt bashpack:darwin
Releasing
Updates the package version, commits to git, pushes to github , adds tag , and publishes to npm
grunt gh-pages
grunt release
License
Copyright (c) 2010-2013 Patrick Debois
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


SVM Tutorial
In this tutorial we will present a general introduction of Support Vector Machines (SVM) and a basic application using the package e1071
.
What is Support Vector Machine?
Support Vector Machine was developed in the study of Boser, Guyon e Vapnik in 1992. It is a supervised learning algorithm that aims to classify a certain set of data points that are mapped to a multidimensional feature space using a kernel function, the approach used to classify problems. In this case, the decision boundary in the input space is represented by a hyperplane in a larger dimension in space (VAPNIK et al., 1997 and SARADHI et al., 2005).
Simplifying…
SVM performs the separation of a set of objects with different classes, in other words, it uses the concept of decision plans.
We can analyze the use of SVM with the following example. It is possible to observe in Figure 1 two classes of objects: blue or orange. This line that divide them defines the boundary between the blue dots and the orange dots. When entering new objects in the analysis, these will be classified as oranges if they are to the right and as blue if they are on the left. In this case, we were able to separate, through a line, the set of objects in their respective group, which characterizes a linear classifier.
However, classification problems are usually more elaborate, and it is necessary to perform optimal separation through more complex structures. The SVM proposes to classify new objects (test) based on available data (training). This can be seen in Figure 2. The optimal separation in this case would occur with the use of a curve.
On the left of Figure 3 we observe the complexity in separating the original objects. To map them, we use a set of mathematical functions, acknowledged as Kernels. This mapping is known as the process of object reorganization.
We can observe in the right of Figure 3 that there is a linear separation between objects. Thus, instead of constructing a complex curve, as in the left scheme; the SVM proposes, in this case, an optimum line capable of separating the blue points from the oranges.
And now, how can I apply this model?
First, it is necessary to load the data that will be studied. Luckily, this dataset is already natively available in R. To load it, simply run the following command:
data(iris)
After loading the database we will do some explorations:
summary(iris)
head(iris)
tail(iris)
str(iris)
The summary()
command presents some statistics of the dataframe variables, such as mean, median, maximum, minimum and quantiles.
>summary(iris)
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
Min. :4.300 Min. :2.000 Min. :1.000 Min. :0.100 setosa :50
1st Qu.:5.100 1st Qu.:2.800 1st Qu.:1.600 1st Qu.:0.300 versicolor:50
Median :5.800 Median :3.000 Median :4.350 Median :1.300 virginica :50
Mean :5.843 Mean :3.057 Mean :3.758 Mean :1.199
3rd Qu.:6.400 3rd Qu.:3.300 3rd Qu.:5.100 3rd Qu.:1.800
Max. :7.900 Max. :4.400 Max. :6.900 Max. :2.500
The head()
and tail()
commands show the first and the last six lines in this order. The str()
command displays the structure of the variables. For example, if they are quantitative or categorical.
> head(iris)
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1 5.1 3.5 1.4 0.2 setosa
2 4.9 3.0 1.4 0.2 setosa
3 4.7 3.2 1.3 0.2 setosa
4 4.6 3.1 1.5 0.2 setosa
5 5.0 3.6 1.4 0.2 setosa
6 5.4 3.9 1.7 0.4 setosa
From this, it is possible to have a sense about the data structure and which types of variables we will work with. It is very important to know the data that will be used.
Since we will use the quantitative variables ‘Sepal Length’, ‘Sepal Width’, ‘Petal Length’ and ‘Petal Width’ as predictors for the categorical variable ‘Species’, it is interesting to observe the correlation between the model covariables.
> names(iris)
[1] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" "Species"
> cor(iris[,1:4])
Sepal.Length Sepal.Width Petal.Length Petal.Width
Sepal.Length 1.0000000 -0.1175698 0.8717538 0.8179411
Sepal.Width -0.1175698 1.0000000 -0.4284401 -0.3661259
Petal.Length 0.8717538 -0.4284401 1.0000000 0.9628654
Petal.Width 0.8179411 -0.3661259 0.9628654 1.0000000
The charts tell stories!
Charts are an excellent tool to abstract and present your explorations. Studies that reach most spectators are those which use all possible resources to make the information as intelligible as possible. Let’s visualize how each variable is related by a gradient map, defining red (warm color) for greater correlation between the variables and blue (cold color) for lower correlation:
library(lattice)
cor <- cor(iris[,1:4])
rgb.palette <- colorRampPalette(c("blue", "red"), space = "rgb")
levelplot(cor, main="Correlation Iris Dataset", xlab="", ylab="", col.regions=rgb.palette(120))
A nice correlation chart . First we import the lattice
library which is responsible for generating our graph, store a correlation matrix in a variable and then create a color scheme (an array with a computational definition of these colors) with a ColorRampPaletter()
function, going From blue to red. Finally we give these definitions to the function levelplot()
that will take care of the rest.
Now we will present the definitive chart to understand our data, the three-dimensional scatter chart. We have four variables but only 3 will allow us to see beyond!
install.packages("scatterplot3d")
library(scatterplot3d)
colors <- c("#e41a1c", "#377eb8", "#4daf4a")
colors <- colors[as.numeric(iris$Species)]
scatterplot3d(iris[,1:3], pch = 15, color=colors)
After installing and loading the scatterplot3d
, we define 3 hexadecimal colors and save in the colors array, so we overwritten this array with an array referring to the species and replacing it by the color. Species 1, color 1, species 2, color 2… Finally, we pass all these parameters to our function that generates our graph. As you can see, a ‘separation’ is clear for our data, so it will not be a difficult job for our machine.
Now the most expected part… #letsgo
To use SVM, you need to install the e1071 package using the install.packages("e1071")
command.
Wait to finish the installation process and let’s separate the data.
First, we will separate 70% of the observations from our dataset to ‘calibrate’ the model and use the other observations to verify the predictive power of the adjusted model.
> dim(iris)
[1] 150 5
> treino <- sample(1:150, 0.7*150)
> teste <- setdiff(1:150,treino)
> iris_treino <- iris[treino,]
> iris_teste <- iris[teste,]
In the e1071
package, we use thesvm()
function to adjust the support vector machine model. Note that the syntax is quite similar to the lm()
and glm()
functions for linear and generalized linear models. Once we declare the dependent variable (the variable in which we want to make predictions), the function will automatically detect its type (categorical or quantitative) and use the appropriate procedure to fit the model.
> require(e1071)
> modelo1 <- svm(Species ~ . , data = iris_treino)
> summary(modelo1)
Call:
svm(formula = Species ~ ., data = iris_treino)
Parameters:
SVM-Type: C-classification
SVM-Kernel: radial
cost: 1
gamma: 0.25
Number of Support Vectors: 49
We used the “radial” kernel in the proposed model, since it is the default (which the function admits if nothing in the argument is informed). The svm()
function accepts the following kernels: radial, linear, polynomial, and sigmoid.
Different kernels fit different models and, consequently, different predicted values. We will then adjust one model for each kernel, aiming to obtain a lower rate of classification error.
modelo2 <- svm(Species ~ . , kernel = "linear" , data = iris_treino)
modelo3 <- svm(Species ~ . , kernel = "polynomial" , data = iris_treino)
modelo4 <- svm(Species ~ . , kernel = "sigmoid" , data = iris_treino)
We now apply the adjusted models in the observations of the ‘test’ base and, through a contingency table, compare the classification proposed by the models with the actual observations classification.
preditos1 <- predict(modelo1,iris_teste)
> table(preditos1,iris_teste$Species)
preditos setosa versicolor virginica
setosa 11 0 0
versicolor 0 20 0
virginica 0 1 13
When performing the same procedure for other models, we can use the sum of the elements that don’t belong to the main diagonal as a measure of error, since they correspond to elements that were misclassified.
preditos2 <- predict(modelo2,iris_teste)
preditos3 <- predict(modelo3,iris_teste)
preditos4 <- predict(modelo4,iris_teste)
t1 <- table(preditos1,iris_teste$Species)
t2 <- table(preditos2,iris_teste$Species)
t3 <- table(preditos3,iris_teste$Species)
t4 <- table(preditos4,iris_teste$Species)
> sum(c(t1[lower.tri(t1)],t1[upper.tri(t1)]))
[1] 1
> sum(c(t2[lower.tri(t2)],t2[upper.tri(t2)]))
[1] 1
> sum(c(t3[lower.tri(t3)],t3[upper.tri(t3)]))
[1] 3
> sum(c(t4[lower.tri(t4)],t4[upper.tri(t4)]))
[1] 7
Thus, we saw that model 1 (kernel = radial) and model 2 (kernel = linear) presented more satisfactory results, since they missed only one classification in the test base.
Conclusion
The SVM has a wide range of applications in several areas, such as finance, biology, medicine, logistics, among others.
This is due to its application advantages such as: good generalization performance; mathematical treatability; geometric interpretation and the use for the exploitation of unlabeled data (YANG et al., 2002).
This tutorial is only a small demonstration of how this powerful tool can be used. We hope it has been useful to our readers!
References
BOSER, B. E.; GUYON, I. M.; VAPNIK, V. N. A Training Algorithm for Optimal Margin Classifiers. In: ANNUAL WORKSHOP ON COMPUTACIONAL LEARNING, 5, 1992, Pittsburgh. ACM Press. Pittsburgh: Haussler D, jul 1992. p.144-152 .
DRUCKER, H.; BURGES, C. J.; KAUFMAN, L.; SMOLA, A.; VAPNIK, V. Support vector regression machines. Advances in neural information processing systems, Morgan Kaufmann Publishers, p. 155–161, 1997.
SARADHI, V., KAMIK, H., MITRA, P. A Decomposition Method for Support Vector Clustering. In Proc. of the 2nd International Conference on Intelligent Sensing and Information Processing (ICISIP), p. 268-271, 2005.


Knuth Miles¶
miles_graph()
returns an undirected graph over the 128 US cities from
the datafile miles_dat.txt
. The cities each have location and population
data. The edges are labeled with the distance between the two cities.
This example is described in Section 1.1 in Knuth’s book (see [1] and [2]).
References.¶
| [1] | Donald E. Knuth, “The Stanford GraphBase: A Platform for Combinatorial Computing”, ACM Press, New York, 1993. |
| [2] | http://www-cs-faculty.stanford.edu/~knuth/sgb.html |
Out:
Loaded miles_dat.txt containing 128 cities.
digraph has 128 nodes with 8128 edges
# Author: Aric Hagberg<EMAIL_ADDRESS># Copyright (C) 2004-2018 by
# Aric Hagberg<EMAIL_ADDRESS># Dan Schult<EMAIL_ADDRESS># Pieter Swart<EMAIL_ADDRESS># All rights reserved.
# BSD license.
import re
import sys
import matplotlib.pyplot as plt
import networkx as nx
def miles_graph():
""" Return the cites example graph in miles_dat.txt
from the Stanford GraphBase.
"""
# open file miles_dat.txt.gz (or miles_dat.txt)
import gzip
fh = gzip.open('knuth_miles.txt.gz', 'r')
G = nx.Graph()
G.position = {}
G.population = {}
cities = []
for line in fh.readlines():
line = line.decode()
if line.startswith("*"): # skip comments
continue
numfind = re.compile("^\d+")
if numfind.match(line): # this line is distances
dist = line.split()
for d in dist:
G.add_edge(city, cities[i], weight=int(d))
i = i + 1
else: # this line is a city, position, population
i = 1
(city, coordpop) = line.split("[")
cities.insert(0, city)
(coord, pop) = coordpop.split("]")
(y, x) = coord.split(",")
G.add_node(city)
# assign position - flip x axis for matplotlib, shift origin
G.position[city] = (-int(x) + 7500, int(y) - 3000)
G.population[city] = float(pop) / 1000.0
return G
if __name__ == '__main__':
G = miles_graph()
print("Loaded miles_dat.txt containing 128 cities.")
print("digraph has %d nodes with %d edges"
% (nx.number_of_nodes(G), nx.number_of_edges(G)))
# make new graph of cites, edge if less then 300 miles between them
H = nx.Graph()
for v in G:
H.add_node(v)
for (u, v, d) in G.edges(data=True):
if d['weight'] < 300:
H.add_edge(u, v)
# draw with matplotlib/pylab
plt.figure(figsize=(8, 8))
# with nodes colored by degree sized by population
node_color = [float(H.degree(v)) for v in H]
nx.draw(H, G.position,
node_size=[G.population[v] for v in H],
node_color=node_color,
with_labels=False)
# scale the axes equally
plt.xlim(-5000, 500)
plt.ylim(-2000, 3500)
plt.show()
Total running time of the script: ( 0 minutes 0.034 seconds)


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Photo: Real Madrid fan presents banner MOCKING Gareth Bale for the Wales-golf-Madrid flag
by Tom McNeilI think we all knew that the Wales flag with the Wales-golf-Madrid message on it would get a bit of attention back in Spain.
It certainly looks like his actions were seen as disrespectful by some of the Spanish press. Obviously we must forget that they’ve spent months trying to force Bale out of Madrid.
READ MORE: Video: Real Madrid ace mocks Gareth Bale with golf swing after he messes up in training
It also looks like the fans have taken it badly. Bale has been getting booed at The Bernabeu tonight and this banner has been spotted in the crowd:
There really is nothing like a football fan being scorned to bring out their petty sides. Despite that, we all know they will turn again if he starts to score and play well and decide he’s a hero yet again.
But for now, it seems the Real Madrid faithful will pretend they would rather see Lucas Vazquez play instead of him.


CocoPerfect
COMPETITION
The Photographic Angle regularly runs photographic competitions which are open and accessible to everyone, regardless of their location, ability, experience, equipment or age.
Each competition has a theme, chosen by our Head of Design, and we welcome submissions that illustrate this theme showcasing originality and a unique viewpoint. The competitions are free to enter and TPA enlists the help of an independent judge who is given the responsibility of selecting the winning entries. One photographer whose entry is deemed the best representation of the competition theme will be awarded a prize.
Throughout the year, our Head of Design will also choose a selection of the best entries submitted to various competition themes for inclusion in one of our future photographic exhibitions. The chosen images will then be printed by the charity and exhibited at no expense to the photographers. If your work is chosen for inclusion you will be contacted via email and asked to send us high resolution versions of your work.
Our Folklore competition has now closed for entries and the results will be posted here soon!
The new theme ‘Expression’ will open for entries shortly, so why not start thinking about great ways to inspire us with your imagery.


Joint for a wheel rolling on the x-y plane of the world frame intended for an idealized wheelset. To meet this objective, the wheel always runs upright and enables no slip in the longitudinal direction of the wheel/ground contact.
On the contrary, the wheel can optionally slip in the lateral direction which is reasonable for the wheelset where just one of the wheels should be laterally constrained.
The frame frame_a is placed in the intersection of the wheel spin axis with the wheel middle plane and rotates with the wheel itself. A wheel body collecting the mass and inertia should be connected to this frame.
To work properly, the gravity acceleration vector g of the world must point in the negative z-axis, i.e.
inner Modelica.Mechanics.MultiBody.World world(n={0,0,-1});